TIME of MISTRUST

A plea for trust in a time of mistrust. Trust is the foundation on which monetary systems are built. Trust forms the basis of international diplomatic relations and is the foundation for all progress.

But what happens once trust is shaken?

The diplomatic dispute over a multibillion-dollar submarine treaty – which took place three months before the Russian – Ukrainian war, concerns about a new cold war, and the collapse of the Bretton Woods system exactly 50 years ago are the manuscript for this maritime-themed French-American story about money and trust. It is an object lesson for our times, where we are witnessing the emergence of crypto-financial markets and thus stand on the threshold of a new form of money.

TIME OF MISTRUST

by Jochen Werne

After the traditional long summer vacation, France awakens in September from its brief self-created slumber, as it does every year. Life begins to take its usual course, even if some are still reminiscing, perhaps enjoying the first harbingers of post-Covid worry-free life. Not so Philippe Étienne. For him, on the other side of the Atlantic, in Washington, which is actually picturesque at this time of year, autumn begins with a diplomatic thunderstorm. A storm that must have been new even for the 65-year-old gray-haired eloquent ambassador of France. 6160 kilometers away, at the Élysée Palace, Président de la République Emmanuel Macron decides to call his top diplomat in the United States, along with his Australian counterpart Jean-Pierre Thebault, to Paris for consultations. The unprecedented act in Franco-American history is justified by Foreign Minister Jean-Yves Le Drian with the “exceptional gravity” of an Australian-British-American announcement, and impressively underlined with the words “lie,” “duplicity,” “disrespect” and “serious crisis.”

At the heart of this crisis is the surprise announcement by the aforementioned countries to enter into a strategic trilateral security alliance (AUKUS) with immediate effect. An alliance that also provides for the procurement of nuclear-powered submarines for Australia, effectively putting to rest a 56-billion-euro French-Australian submarine order already initiated in 2016. The conclusion of the agreement comes at a time when U.S. President Joe Biden has asserted to the UN General Assembly, “We do not seek – I repeat, we do not seek – a new cold war or a world divided into rigid blocs.” However, experts, such as renowned historian Niall Ferguson, have been talking about this so-called “new cold war” between the U.S. and China since 2019, and it is not about nuclear arms races, but rather about technology supremacy in cyber security, artificial intelligence and quantum computing. Even though nuclear-powered submarines are at the center of the diplomatic dispute, one is quick to note in the AUKUS agreement that cooperation in the aforementioned fields is one of the most important components of the treaty. An objective that is perhaps also congruent with French interests. But the dispute between the old friends is less about the “what” than about the diplomatic “how” – that is, about the breach of trust that is triggered when close allies are simply presented with a fait accompli. Facts that also affect them financially and personally.

Because money and trust are closely interwoven. The trust of a bank that the creditor will repay its debts. A citizen’s trust that the currency in which he or she is paid their salaries is stable. A state’s trust in a currency system that the agreements made there will be honored by all. Georg Simmel, in his “Philosophy of Money,” sums it up this way: “Money is perhaps the most concentrated and pointed form and expression of trust in the social-state order.”

Last year marked the 50th anniversary of another French-American trust-busting melodrama with a maritime backdrop. Benn Steil, senior fellow at the Council on Foreign Relations, describes the moving events of August 6, 1971, in his book, The Battle of Bretton Woods, as follows: “…a congressional subcommittee issued a report entitled ‘Action Now to Strengthen the U.S. Dollar` that concluded, paradoxically, that the dollar needed to be weakened. Dollar dumping accelerated and France sent a warship to pick up French gold from the vaults of the New York Fed.”

At first glance, this dramatic gesture by then French President Georges Pompidou in the final act of the collapse of the Bretton Woods system seems as strange as the withdrawal of ambassadors today. The basis, however, is similar and lay then as now in an equally shaken trust between the great nations that were nevertheless so closely intertwined. Without going deeper into the new monetary order created after World War II, with the U.S. dollar as the anchor currency, it is important to understand the reason for the French revolt evident in the “White Plan.” The plan provided that the U.S. guaranteed the Bretton Woods participating countries the right to buy and sell gold indefinitely at the fixed rate of $35 per ounce. The dilemma of this arrangement became apparent early on. For by the end of the 1950s, dollar holdings at foreign central banks already exceeded U.S. gold reserves. When French President Charles de Gaulle asked the U.S. to exchange French dollar reserves for gold in 1966, the FED’s gold reserves were only enough for about half that amount. The ever more deeply anchored loss of confidence forced the American president Richard Nixon on August 15, 1971 to cancel the nominal gold peg and the so-called “Nixon shock” ended the system as it was.

And where something ends something new can or will inevitably begin.

Today we live in a world where the stability of our currency is based on our confidence in government fiscal policy, the economic strength of our country, and the good work of an independent central bank. However, we also live in a time when new currency systems are already looming on the dense horizon. The basis for this was laid in 2008, not surprisingly, by one of the most serious crises of confidence in the international banking system that modern times have seen. And the new systems are being implemented with the help of cutting-edge distributed ledger blockchain technology. The new, with its decentralized nature, is challenging the old. While many of the new currencies in the crypto world, such as bitcoin, are subject to large fluctuations, stablecoins promise a link and fixed exchangeability to an existing value, such as the US dollar or even gold. However, the old Bretton Woods challenge of being able to keep this promise at all times remains in the new world. Millions of dollars in penalties imposed by the New York Attorney General’s Office on the largest U.S. dollar stablecoin, Tether, for not being fully verifiable do little to help trust, especially when less than 3 percent of the market capitalization is actually deposited in U.S. dollar cash. As always with new ones, trust has to be built up. This can be done privately, perhaps with a stablecoin backed 100% by central bank money, or by the state, with well thought-out central bank digital currencies, such as the digital euro planned by the European Central Bank.

We live in a world of perpetual rapid change and trust is, as Osterloh describes it, “the will to be vulnerable.” Without trust, there are no alliances, no togetherness, no progress.

Philippe Étienne was back in autumnal Washington after just a few days and has since been working again on what diplomats are best trained for – building trust.

Sources

Billon-Gallan, A., Kundnani, H. (2021): The UK must cooperate with France in the Indo-Pacific. A Chatham House expert comment. https://www.chathamhouse.org/2021/09/uk-must-cooperate-france-indo-pacific (Retrieved 24.9.2021)

Brien, J. (2021): “Stablecoin without stability”: Tether and Bitfinex pay $18.5 million fine. URL: https://t3n.de/news/stablecoin-tether-bitfinex-strafe-1358197/?utm_source=rss&utm_medium=feed&utm_campaign=news (Retrieved: 9/30/2021).

Corbet, S. (2021): France recalls ambassadors to U.S., Australia over submarine deal. URL: https://www.pressherald.com/2021/09/17/france-recalls-ambassadors-to-u-s-australia-over-submarine-deal/ (Retrieved 9/25/2021).

Ferguson N. (2019): The New Cold War? It’s With China. And It Has Already Begun. URL: https://www.nytimes.com/2019/12/02/opinion/china-cold-war.html (Retrieved: 9/30/2021).

Graetz, M., Briffault, O. (2016): A “Barbarous Relic”: The French, Gold , and the Demise of Bretton Woods. URL: https://scholarship.law.columbia.edu/cgi/viewcontent.cgi?article=3545&context=faculty_scholarship p. 17 (Retrieved 9/25/2021).

Osterloh, M., Weibel, A. (2006): Investing trust. Processes of trust development in organizations, Gabler: Wiesbaden.

Steil, B. (2020): The Battle of Bretton Woods: John Maynard Keynes, Harry Dexter White, and the new world, p. 377.

Stolze, D. (1966): Does de Gaulle defeat the dollar? In ZEIT No. 36/1966. URL: (https://www.zeit.de/1966/36/besiegt-de-gaulle-den-dollar/komplettansicht (Retrieved: 9/26/2021)

The Guardian Editorial (2021): The Guardian view on Biden’s UN speech: cooperation not competition URL: https://www.theguardian.com/commentisfree/2021/sep/22/the-guardian-view-on-bidens-un-speech-cooperation-not-competition(Retrieved: 9/29/2021)

Unal, B., Brown, K., Lewis, P., Jie, Y. (2021): Is the AUKUS alliance meaningful or merely a provocation – A Chatham House expert comment. URL: https://www.chathamhouse.org/2021/09/aukus-alliance-meaningful-or-merely-provocation (Retrieved: 9/24/2021).

Time Online (2021): France sees relationship in NATO strained. URL: https://www.zeit.de/politik/ausland/2021-09/u-boot-deal-frankreich-australien-usa-streit-nato-jean-yves-le-drian?utm_referrer=https%3A%2F%2Fmeine.zeit.de%2F (Retrieved: 9/25/2021)

Hot off the press AIRWA

Hot off the press: AIRWA-Journal published

HOT OFF THE PRESS

It was a inspiring holding in hand the first edition of the JOURNAL OF AI, ROBOTICS & WORKPLACE AUTOMATION published by Henry Stewart Publications

We are pleased to give everyone the opportunity to download the entire article POINT OF NO RETURN by Jochen Werne & Johannes Winter here: https://lnkd.in/dmi9i9aB

The inspiring articles and case studies published in Volume 1 Number 1 are:

Editorial
Tom Davenport, Distinguished Professor, Babson College, Research Fellow, MIT Center for Digital Business and Senior Advisor, Deloitte Institute for Research and Practice in Analytics

Practice papers:

  • The path to AI in procurement by Phil Morgan, Senior Director, Electronic Arts (EA)
  • How to kickstart an AI venture without proprietary data: AI start-ups have a chicken and egg problem — here is how to solve it by Kartik Hosanagar, Professor, The Wharton School of University of Pennsylvania and Monisha Gulabani, Research Assistant, Wharton UK AI Studio
  • Towards a capability assessment model for the comprehension and adoption of AI in organisations by Tom Butler PhD MSc, Professor, Angelina Espinoza-Limón, Research Fellow and Selja Seppälä, Research Fellow, University College Cork, Ireland
  • The path to autonomous driving by Sudha Jamthe, Technology Futurist and Ananya Sen, Product Manager and Software Engineer
  • Point of no return: Turning data into value by Jochen Werne, Chief Visionary Officer, Prosegur Germany and Johannes Winter, Managing Director, Plattform Lernende Systeme – Germany’s AI Platform
  • Robotic process automation and the power of automation in the workplace by Raj Samra, Senior Manager, PwC
  • Difficult decisions in uncertain times: AI and automation in commercial lending by Sean Hunter, Chief Information Officer and Onur Güzey, Head of Artificial Intelligence, OakNorth
  • The intelligent, experiential and competitive workplace: Part 1 by Peter Miscovich, Managing Director, Strategy + Innovation, JLL Technologies
  • Responding to ethics being a data protection building block for AI by Henry Chang, Adjunct Associate Professor, The University of Hong Kong
  • Legal issues arising from the use of artificial intelligence in government tax administration and decision making by Liz Bishop Barrister, Ground Floor Wentworth Chambers

A new Age of Enlightenment

A new Age of Enlightenment

From Antarctica to Artifical Intelligence, a man-made journey between brilliance and madness

by Jochen Werne

When we look carefully at our past, we come across a fascinating and sometimes schizophrenic human history of partial madness and absolute brilliance – not only when it comes to the use of new technologies. Let’s take a look into some of these stories.

1961 HAVANNA, CUBA: The world is on the brink of a nuclear holocaust. A reality created by the effects of the Cold War, political doctrines, hard borders and, not least, technological progress. Only diplomacy and pure instinct for the essence of human existence on both sides prevented the worst.

A story that reflects the precarious situation of the world at that time particularly well is found in Fidel Castro’s indirect offer to the Soviet Union to “solve the problem” and carry the communist revolution to victory by launching nuclear missiles from Cuban soil. His comrade-in-arms Che Guevara even went a step further, saying, “We say that we must tread the path of liberation, even if it may cost millions of nuclear war victims. In the struggle to the death between two systems, we can think of nothing but the final victory of socialism or its downfall as a result of the nuclear victory of imperialist aggression.” In 1962, the former First Secretary of the Communist Party of the Soviet Union, Nikita Khrushchev, replied in a letter to Fidel Castro that he did not agree with the idea because it would inevitably lead to thermonuclear war and that there was still a need for a world into which the revolution could be carried.

1961 NEW YORK, USA: In the same year, 12 nations ratify a treaty for the joint administration of an entire continent. A continent larger than the United States. A continent that is home to 90% of the world’s freshwater reserves and is of extraordinary importance for the climate of our planet: Antarctica. It is the year in which one of humanity’s most encouraging treaties was signed – the Antarctic Treaty.

OPEN-SOURCE CONCEPT: The treaty – contains several chapters on the exclusively peaceful and scientific use of Antarctica. Along with this, the treaty also regulates the joint use of all research results and data. A concept that seemed revolutionary for the time and which is crucial for finding solutions to the great challenges of our time – such as climate change or effectively combating a pandemic.

2022 PLANET EARTH. Throughout history, we have often underestimated both the positive and negative impacts on society that come from revolutionary technologies. But technology itself cannot be judged in terms of good or bad. Rather, it is how society uses it that must be judged. Today, we are again on the brink of such a societal challenge.

We live in a globally connected world. Technological progress has made data one of the most important resources. The co-founder of Twitter, Evan Williams, surprisingly stated the following in a New York Times interview in 2017: “I thought that if everyone could speak freely and share information and ideas, the world would – automatically – become a better place. I was wrong”.

It would be easy to get the impression that this phenomenon is new, but Niall Ferguson, professor of history and senior fellow at the Hoover Institute, is convinced that today’s technological progress and its impact on society are comparable to the invention of the printing press by Johannes Gutenberg in the 15th century. The printing press had many positive effects on the progress of mankind and catapulted the Bible to the top of the book bestseller list for 200 years. Unfortunately, the same technology made “Malleus Maleficarum”, also known as the “Hammer of witches”, number 2 on this list for the same period. The book was the basis for the witch hunt and brought death to so many innocent people. Certainly, today the contents of the book would be called “fake news”.

PRESENT & THE WORLD OF TOMORROW

We are all shaping the world of tomorrow today, and our aspirations have already led to much good. Technology and human creativity have, for example, contributed to a massive reduction in poverty rates worldwide. In the last 25 years, more than one billion people have been lifted out of extreme poverty.

If we look at the moment, we cannot avoid dedicating a few lines to the current COVID-19 pandemic. It is a global challenge and could be the next story of human brilliance and madness. We will witness tremendous advances in medical research and pandemic response measures thanks to AI-based analytics. But we will also witness a recession, which historically has always been an element for populism and nationalism. All this in an environment of fear and closed borders. In these situations, where many feel helpless, change has always come from progressive thinkers who were convinced of their ideas, from Kant to Ghandi to the thought leaders of today.

In our open society and with machine and deep learning technologies in our hands, we have the opportunity to make the world a better place. We can make a difference in our professions, and we can stand up and make our voices heard against polarising movements and injustice in every way. We can use our creativity and intellect to defend “the progress of thought”, which has always had the goal of “freeing man from his fear”, just as it was one of the goals of the Age of Enlightenment.

Sources:
https://www.plattform-lernende-systeme.de/home-en.html
http://www.niallferguson.com
http://antarcticblanc.com
https://www.ats.aq/index_e.html
https://www.nytimes.com/2017/05/20/technology/evan-williams-medium-twitter-internet.html
Photo source: https://pixabay.com

POINT OF NO RETURN – entire publication

It was indeed a great pleasure contributing in co-authorship Dr. Johannes Winter & Jochen Werne to the Henry Stewart Publications and we are pleased to not only the present the article, but also give everyone the opportunity to download and read the full chapter here:

POINT OF NO RETURN:
TURNING DATA INTO VALUE 

The Cambridge Dictionary defines the point of no return as the stage at which it is no longer possible to stop what you are doing, and when its effects cannot now be avoided or prevented. Exponential advances in technology have led to a global race for dominance in politically, militarily and economically strategic technologies such as 5G, artificial intelligence (AI) and digital platforms.

A reversal of this status quo is hardly conceivable. Based on this assumption, this paper looks to the future, adding the lessons of recent years — the years when the point of no return was passed. In addition, the paper uses practical examples from different industries to show how digital transformation can be successfully undergone and provides six key questions that every company should ask itself in the digital age.

The article includes key learnings and/or best practise examples from e.g.
acatech – Deutsche Akademie der Technikwissenschaften
Plattform Lernende Systeme – Germany’s AI Platform
Prosegur
Tesla
Waymo
Google
Amazon
relayr
Ada Health
Fiege Logistik
Westphalia DataLab
Satya Nadella
Microsoft
TikTok
Facebook

Hot off the press: POINT OF NO RETURN: TURNING DATA INTO VALUE

INAUGURAL EDITION
of the
JOURNAL OF AI, ROBOTICS and WORKPLACE AUTOMATION

It was indeed a great pleasure contributing in co-authorship Dr. Johannes Winter & Jochen Werne to the Henry Stewart Publications and we are pleased to present the article:

POINT OF NO RETURN:
TURNING DATA INTO VALUE

The Cambridge Dictionary defines the point of no return as the stage at which it is no longer possible to stop what you are doing, and when its effects cannot now be avoided or prevented. Exponential advances in technology have led to a global race for dominance in politically, militarily and economically strategic technologies such as 5G, artificial intelligence (AI) and digital platforms. A reversal of this status quo is hardly conceivable. Based on this assumption, this paper looks to the future, adding the lessons of recent years — the years when the point of no return was passed. In addition, the paper uses practical examples from different industries to show how digital transformation can be successfully undergone and provides six key questions that every company should ask itself in the digital age.

The article includes key learnings and/or best practise examples from e.g.
acatech – Deutsche Akademie der Technikwissenschaften
Plattform Lernende Systeme – Germany’s AI Platform
Prosegur
Tesla
Waymo
Google
Amazon
relayr
Ada Health
Fiege Logistik
Westphalia DataLab
Satya Nadella
Microsoft
TikTok
Facebook

Jochen Werne - acatech Webtalk Clean-up batter comments

Clean-up Batter Comments from the acatech Webtalk „WAYS OUT OF THE CRISIS“

It has been a great pleasure being the clean-up batter for moderator Michael Dowling (University Regensburg) in the Webtalk hosted by Dr. Johannes Winter and the prestigious National Academy of Science and Engineering (acatech). The esteemed experts Olga Mordvinova, CEO of incontext.technology; Franz Gruber, founder of Forcam, Kai-Uwe Weiß, Manager at Leser and Wolfgang Faisst, founder of value.works.ai discussed about how digital transformation and artificial intelligence helps SME‘s to find a positive way out of the crisis, about GAIA-X, digital twins and best-practice experiences. It was an honour rounding-up the event together with Prof. Dowling.

Follow the Clean-up Batter comments in this summary

acatech Webtalk – Wege aus der Krise

Details from the webtalk in German HERE . Translation below made with DeepL.com

Munich, March 9, 2021

Digital technologies have proven their worth, especially in the Corona pandemic: Thanks to them, companies were and are more adaptable during the crisis and can respond more quickly to customer requirements. But what role do digital technologies now play in finding a way out of the crisis? And what framework conditions need to be created so that SMEs in particular give up their reluctance to digitize? Experts from business and research discussed this at an acatech Webtalk on March 5.

Many globally operating, medium-sized companies in Germany had a problem during the Corona pandemic: Since business trips were not possible, customers could not take delivery of an ordered product on site at the plant. However, digital technologies provided a remedy: the safety valve manufacturer Leser GmbH, for example, as Leser manager Kai-Uwe Weiß reported in his presentation, offers customers the service of a “remote inspection”, in which customers are guided through the plant via a virtual reality application and can thus carry out the acceptance.

Earlier, Wolfgang Faisst, a member of the Learning Systems Platform and founder of value.works.ai, had already recommended a “Digital Business Framework” to medium-sized companies in his introductory impulse in order to emerge better from the Corona crisis. For this, technological and organizational requirements would have to be optimally harmonized with digital ambitions (e.g. reconfiguration of business processes or digital refinement of products). Wolfgang Faisst referred to the offerings of the Learning Systems Platform, which provides target images, implementation examples and roadmaps for AI introduction and application.

The panel discussion following the presentations, moderated by acatech member Michael Dowling (University of Regensburg), emphasized that the success of Industrie 4.0 must be measured in terms of entrepreneurial results and the customer benefits generated. Olga Mordvinova, member of the Learning Systems Platform and CEO of incontext.technology GmbH, emphasized that Germany has an excellent position both on the technology provider side and in the area of domain knowledge. However, in order for the potential of digitization to be better exploited – especially in SMEs – a secure and sovereign digital infrastructure is needed in Germany and Europe, said Franz Gruber, founder and advisory board member of Forcam GmbH. Only then would companies abandon their reluctance, which is due in part to their dependence on large platform companies. Jochen Werne, member of the Learning Systems Platform and board member of Prosegur Germany, agreed: Fundamental for the near future and the time after Corona is a clear European vision and implementation strategy for digital transformation.

Find the full acatech webtalk here

PODCAST: Poledify host Felix Gehm is discussing Business Transformation with Jochen Werne

HOT OFF THE TAPE: Business Transformation in the Digital Age – Insight into Practice from an Expert’s Perspective

It was a great pleasure being invited as guest to the brand new podcast format POLEDIFY. With Poledify, Felix Gehm offers insights into the routines, mindsets and habits of experts and thought leaders from a wide range of disciplines.

Find the POLEDIFY podcast HERE

POLEDIFY EPISODE #3 – DIGITAL TRANSFORMATION

Listen to the Interview HERE

CONTENT & LINKS (posted by Poledify)

Jochen Werne is Chief Development Officer and Chief Visionary Officer of Prosegur Germany. Prosegur Group is one of the leading security service providers worldwide with over 175,000 employees on five continents. Jochen Werne is, among other things, a member of the Learning Systems Platform, which advises the German government on artificial intelligence, and of the Royal Institute of International Affairs Chatham House, one of the most important think tanks in the world. Jochen was listed as one of the AI experts in Germany by Focus magazine. He is also an author, keynote speaker, internationally awarded NGO founder and specialist in business development and transformation, and international diplomacy. In 2020, the Tyto Tech Power List named him one of the 50 most influential people in the tech scene in Germany.

Topics of this episode:

What does digital transformation mean for “traditional” business sectors?
How Prosegur plans to master digital transformation
How not to be deterred by big challenges
The most important characteristics of a leader in the face of such challenges

Links and other things from the episode:
The interview between Bill Gates and Warren Buffet: shorturl.at/mGPYZ
Books:
Utopias for Realists by Rutger Bregman
Mordern Monopolies by Alex Moazed and Nicholas L. Johnson
Here you can find Jochen Werne and everything about Prosegur:
Jochen Werne LinkedIn: https://www.linkedin.com/in/jochenwerne/
Jochen Werne Website: http://jochenwerne.com/
Prosegur LinkedIn: https://www.linkedin.com/company/prosegur/
Prosegur website: https://www.prosegur.com/en/jobs
Platform Learning Systems: https://www.plattform-lernende-systeme.de/home-en.html

Questions, criticism, suggestions or anything else? Write to me!
Instagram: https://www.instagram.com/poledify/
Twitter: https://twitter.com/ThisIsFelixGehm
or simply send an email to poledify@gmail.com
Where does the fine music (intro & outro) come from?
The fine music in the intro and outro is produced by pads. Behind the artist name is Patrick, who has finally decided to record all his little songs. You can find it all here:
YouTube: bit.ly/33TOFcN
Instagram: https://bit.ly/2XWFDIm
Soundcloud: https://bit.ly/3oYQA8k

Competence NOW: The DATA LITERACY CHARTA

It is an honour to be able to support this forward-looking Data Literacy Charter, initiated by the Stifterverband, as a first signatory together with the most competent representatives from politics, education, business and science.

Jochen Werne

DATA LITERACY CHARTA

Find all original information in German > HERE / please find below a translation for English speaking audience – created with DeepL.com

The Data Literacy Charter, initiated by the Stifterverband in January 2021 and supported by numerous professional societies, formulates a common understanding of data literacy and its importance for educational processes. The charter is in line with the Federal Government’s data strategy and with the Berlin Declaration on the Digital Society.

Author and authors:
Katharina Schüller, Henning Koch, Florian Rampelt


SUMMARY
Data literacy encompasses the data skills that are important for all people in a world shaped by digitalisation. It is an indispensable part of general education.

With the Data Literacy Charter, the signatories express the common understanding of data literacy in the sense of comprehensive data literacy and its importance in educational processes. This understanding is in line with the Federal Government’s data strategy and with the Berlin Declaration on the Digital Society.

Data literacy includes the skills to collect, manage, evaluate and apply data in a critical way. If data is to support decision-making processes, it needs competent answers to four fundamental questions:

What do I want to do with data? Data and data analysis are not an end in themselves, but serve a concrete application in the real world.
What can I do with data? Data sources and their quality as well as the state of technical and methodological developments open up possibilities and set limits.
What am I allowed to do with data? All legal rules of data use (e.g. data protection, copyrights and licensing issues) must always be considered.
What should I do with data? Because data is a valuable resource, a normative claim derives from it to use it for the benefit of individuals and society.
The supporters of the Charter see data literacy as a central competence of all people in the 21st century. It is the key to systematically transforming data into knowledge.

Data literacy enables people, businesses and scientific institutions, as well as governmental or civil society organisations,

to actively participate in the opportunities offered by data use;
deal confidently and responsibly with their own and other people’s data;
to use new drivers and technologies such as Big Data, Artificial Intelligence or Internet of Things to meet individual needs, address societal challenges and solve global problems.
Data literacy strengthens judgement, self-determination and a sense of responsibility and promotes the social and economic participation of all of us in a world shaped by digitalisation.

GUIDING PRINCIPLES
Five principles characterise the importance and role of data literacy as a key competence of the 21st century.

Data literacy must be accessible to all.
Data literacy serves to promote maturity in a modern digitalised world and is therefore important for all people – not only for specialists. The aim of teaching data literacy is to ensure that each individual and our society as a whole deal with data in a conscious and ethically sound manner. Data literacy enables successful and sustainable action that is based on evidence and that takes appropriate account of uncertainty and change in our living environment. We are therefore committed to ensuring that data literacy is taught broadly and can be acquired by all people.

Data literacy must be taught throughout life in all areas of education.
Data literacy must be anchored in all formal and non-formal education sectors and thus established as part of general education. To do this, we must continuously teach learners how data relates to their respective lifeworlds: Data are digital images of real phenomena, objects and processes – this applies to all fields of application. How to collect or procure, evaluate, apply and interpret data appropriately for the respective application must be systematically learned and practised. The basic concept of data literacy and its sub-areas therefore applies across the board, even if the level of competence imparted varies depending on the educational sector and level.
In concrete terms, this requires the inclusion of data literacy in the curricula and educational standards of schools, in the curricula of degree programmes and in teacher training programmes. Learners should not only be addressed as passive consumers of data. Rather, we want to enable them to actively shape data-related knowledge and decision-making. In order to make lifelong learning of data literacy possible, data literacy programmes for extracurricular and vocational training are also needed. We advocate developing and promoting these, for example, together with adult education centres or public libraries.

Data literacy must be taught as a transdisciplinary competence from three perspectives.
Data literacy involves three perspectives: the application-related (“What is to be done?”), the technical-methodical (“How is it to be done?”) and the social-cultural (“What is it to be done for?”). We therefore want to ensure that data literacy is taught from a trans- and interdisciplinary approach. This includes
● the application-oriented perspective (for example, applications from the natural and engineering sciences, economics, medicine, psychology, sociology, linguistics, media studies and many more),
the technical-methodological perspective (for example, from the perspective of statistics, mathematics, computer science and information science),
the socio-cultural perspective (for example, reflection on legal, ethnological, ethical, philosophical as well as inequality aspects)
● as well as the perspective of teaching (for example on the part of subject didactics and educational science).

Data literacy must systematically cover the entire process of knowledge and decision-making with data.
Data literacy ensures that answers to real problems are found with the help of data in a structured and qualitative way. Data literacy therefore includes the following areas of competence:
● Using and protecting data (ability and motivation to responsibly acquire, analyse, share and obtain appropriate data and information in the context of the task at hand).
Classify data and information derived from it (ability and motivation to contextualise and interpret data and information and to critically question learning systems, such as AI applications).
● Act in a data-supported manner (open-minded attitude towards data in the sense of a data culture including insight into the role of data for evidence-based action, ability to handle data with confidence including effective communication of data-based decisions).

Data literacy must comprise knowledge, skills and values for a conscious and ethically sound handling of data.
Data literacy comprises three competence dimensions that must be mapped in all three competence areas. Each competence area is characterised by
● specific knowledge (dimension “Knowledge”),
● the skills and abilities to apply this knowledge (dimension “Skills”) and
● by the willingness to do so, i.e. the corresponding value attitude (dimension “Values”).
Data ethics is a central component of a key competence and is reflected in all sub-areas of data literacy. This means that when data is collected, managed, evaluated and used in a critical way, ethical aspects play an important role throughout. Data ethics and values contribute significantly to ensuring that not only the right means are used to solve problems with the help of data, but above all that the right goals are pursued: Data should make a sustainable positive contribution to society and therefore be used responsibly, context-sensitively and with a view to possible future consequences.

The signatories of the Data Literacy Charter will take measures to disseminate this understanding of data literacy and to further strengthen the associated competences. They call on other actors to do the same in their sphere of influence.

The initial signatories
Institutions & Initiatives (in alphabetical order)

  • Bund Katholischer Unternehmer e.V. (BKU)
  • Deutsche Arbeitsgemeinschaft Statistik (DAGStat) mit ihren 14 Mitgliedsgesellschaften und dem Statistischen Bundesamt Destatis
  • Deutscher Volkshochschul-Verband (DVV)
  • Deutsche Statistische Gesellschaft (DStatG)
  • Digitalrat der Bundesregierung
  • Europäisches Wirtschaftsforum e.V. – EWiF Deutschland
  • Federation of European National Statistical Societies (FENStatS) mit ihren 27 Mitgliedsgesellschaften und der Europäischen Zentralbank
  • FernUniversität in Hagen
  • FOM Hochschule für Oekonomie & Management
  • Hochschulforum Digitalisierung
  • Initiative for Applied Artificial Intelligence by UnternehmerTUM
  • Institute of Electrical and Electronics Engineers (IEEE), European Office
  • International Association for Statistical Education (IASE)
  • KI Bundesverband e.V.
  • KI-Campus – Die Lernplattform für Künstliche Intelligenz
  • Partnership in Statistics for the Development in the 21st Century (PARIS21) / OECD
  • RWI – Leibniz-Institut für Wirtschaftsforschung
  • Stifterverband
  • Technische Universität Dortmund
  • Weltethos-Institut | An-Institut der Universität Tübingen
     

Individuals (in alphabetical order)

Regina Ammicht Quinn, Dorothee Bär, Thomas K. Bauer, Manfred Bayer, Jörg Bienert, Felicitas Birkner, Vanessa Cann, Thomas M. Deserno, Roman Dumitrescu, Johanna Ebeling, Florian Ertz, Andrea Frank, Gerd Gigerenzer, Jessica Heesen, Ulrich Hemel, Norbert Henze, Burghard Hermeier, Wolfgang Heubisch, Oliver Janoschka, Johannes Jütting, Claudia Kirch, Volker Knittel, Henning Koch, Ralf Klinkenberg, Annegret Kramp-Karrenbauer, Alexander Knoth, Beate M. Kreiner, Sebastian Kuhn, Monique Lehky Hagen, Andreas Lenz, Andreas Liebl, Anna Masser, Volker Meyer-Guckel, Antje Michel, Ralf Münnich, Dominic Orr, Ada Pellert, Martin Rabanus, Walter J. Radermacher, Philipp Ramin, Florian Rampelt, Richard K. Frhr. v. Rheinbaben, Peter Rost, Philipp Schlunder, Harald Schöning, Katharina Schüller, Rainer Schwabe, Andrea Stich, Sascha Stowasser, Renata Suter, Georges-Simon Ulrich, Daniel Vorgrimler, Jochen Werne, Johannes Winter

The hallmark of an open society is that it promotes the unleashing of people’s critical faculties, and the Data Literacy Charter, in this best sense, promotes the much-needed creation of data literacy for all areas of our digital society

Jochen Werne

Book recommendation: Robo-Advisory: Investing in the Digital Age

Edited by Prof. Dr. Peter Scholz; published by Palgrave Studies in Financial Services Technologies. Buy a copy here

Congratulations to Peter Scholz for publishing this excellent book on new technological investment methods. It was an honour for me to write the foreword and I wish every reader enriching insights into this new field of investing in the digital age.

Jochen Werne
Prof. Dr. Peter Scholz

This book is the first to provide comprehensive answers to these questions in a fundamental, decisive, detailed and nuanced way. It clarifies the basics, the technology and the tactics behind those clever, financial machines, gives insights into their previous track record to date and much more. Looking ahead, it provides a preview of what is and may be yet to come. As a matter of fact, so far only a relatively small percentage of the global investment community have more or less relied on robo-advisors, depending on their respective culture. It is also a fact that we are only at the beginning of development. We have all borne witness to how exponentially fast things can move forward. One such example is the evolution of smartphones—which by the way have been around for just a little longer than robo-advisors.

Whitepaper: Introduction of AI systems in companies

Design approaches for change management

About this whitepaper
This paper was prepared by the Work/Qualification, Human-Machine Interaction working group of the Learning Systems Platform. As one of a total of seven working groups, it examines the potentials and challenges arising from the use of artificial intelligence in the world of work and life. The focus is on questions of transformation and the development of humane working conditions. In addition, it focuses on the requirements and options for qualification and lifelong learning as well as starting points for the design of human-machine interaction and the division of labour between man and technology.

Original published in German. Translation made by Deepl.com

Authors:
Prof. Dr.-Ing. Sascha Stowasser, Institut für angewandte Arbeitswissenschaft (ifaa) (Projektleitung)
Oliver Suchy, Deutscher Gewerkschaftsbund (DGB) (Projektleitung)
Dr. Norbert Huchler, Institut für Sozialwissenschaftliche Forschung e. V. (ISF-München) Dr. Nadine Müller, Vereinte Dienstleistungsgewerkschaft (ver.di)
Dr.-Ing. Matthias Peissner, Fraunhofer-Institut für Arbeitswirtschaft und Organisation (IAO) Andrea Stich, Infineon Technologies AG
Dr. Hans-Jörg Vögel, BMW Group
Jochen Werne, Prosegur Cash Services Germany GmbH
Authors with guest status:
Timo Henkelmann, Elabo GmbH
Dr.-Ing. habil. Dipl.-Tech. Math. Thorsten Schindler, ABB AG Corporate Research Center Germany
Maike Scholz, Deutsche Telekom AG
Coordination:
Sebastian Terstegen, Institut für angewandte Arbeitswissenschaft (ifaa) / Dr. Andreas Heindl, Geschäftsstelle der Plattform Lernende Systeme / Alexander Mihatsch, Geschäftsstelle der Plattform Lernende Systeme

The introduction of artificial intelligence (AI) in companies offers opportunities and potential both for employees, for example in the form of relief through AI systems, and for companies, for example in the form of improvements in work processes or the implementation of new business models. At the same time, the challenges in the use of AI systems must – and can – be addressed and possible negative accompanying implications dealt with. The change in the companies can only be mastered together. All in all, it is a matter of shaping a new relationship between people and technology, in which people and AI systems work together productively and the respective strengths are emphasised.
Change management is a decisive factor for the successful introduction of AI systems as well as the human-centred design of AI deployment in companies. Good change management promotes the acceptance of AI systems among employees, so that the potential of new technologies can be used jointly for all those involved, further innovation steps can be facilitated and both employees and their representatives can be made the shapers of technological change.


The participation of employees and their representatives makes a significant contribution to the best possible design of AI systems and the interface between man and machine – especially in terms of efficient, productive work organisation that promotes health and learning. Early and process-oriented participation of employees and co-determination representatives is therefore an important component for the human-centred design and acceptance of AI systems in companies.


The introduction of artificial intelligence has some special features which also have an impact on change management as well as on the participation of employees including the processes of co-determination in the company. The authors of the working group Work/Qualification, Human-Machine-Interaction pursue with this white paper the goal to sensitize for the requirements of change management in Artificial Intelligence and to give orientation for the practical implementation of the introduction of AI systems in the different phases of the change process:


Phase 1 – Objectives and impact assessment: In the change processes for the introduction of AI systems, the objective and purpose of the applications should be defined from the outset with the employees and their representatives and information on the functioning of the AI system should be provided. On this basis, the potential of the AI systems and the possible consequences for the company, the organisation and the employees can then be assessed. A decisive factor for the success of a change process is the involvement of the employees and the mobilisation for the use of new technologies (chapter 2.1).


Phase 2 – Planning and design: In a second step, the design of the AI systems themselves is the main focus. This is primarily concerned with the design of the interface between man and AI system along criteria for the humane and productive implementation of man-machine interaction in the working environment. Of particular importance here are questions of transparency and explainability, of the processing and use of data and of analysis possibilities by AI systems (including employee analysis) as well as the creation of stress profiles and the consideration of employment development (Chapter 2.2).


Phase 3 – Preparation and implementation: The AI systems must also be integrated in a suitable way into existing or new work processes and possibly changed organisational structures. This means preparing employees for new tasks at an early stage and initiating the necessary qualification measures. It is also important to design new task and activity profiles for employees and to adapt the work organisation to a changed relationship between man and machine. A helpful instrument in the introduction of AI systems are pilot projects and expert phases in which experience can be gathered before a comprehensive introduction and possible need for adaptation with regard to AI systems, qualification requirements or work organisation can be identified (Chapter 2.3).


Phase 4 – Evaluation and adaptation: After the introduction of the AI systems, a continuous review and evaluation of the AI deployment should take place in order to ensure possible adaptations with regard to the design of the applications, the organisation of work or the further qualification of the employees. In addition, the regular evaluation of AI deployment can make use of the experience of the employees and initiate further innovation processes – both with regard to the further improvement of (work) processes and with regard to new products and business models – together with the employees as designers of change (Chapter 2.4).


These practice-oriented requirements are aimed at all stakeholders involved in change processes and are intended to provide orientation for the successful introduction of AI systems in companies. In addition, these requirements should also inspire the further development of existing regulations – for example in legislation, social partnership or standardisation – and thus enable an employment-oriented, flexible, self-determined and autonomous work with AI systems and promote the acceptance of AI systems.