AI GLOBAL GOVERNANCE Commission is an executive body composed of governments, industry and civil society commissioned to deliver the global Convention on AI.

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The Global Network of Politicians, founded and chaired by the UK Member of Parliament, Darren Jones, brings together all party politicians from around the world to work towards the AI Global Convention. It supports exchange on AI legislation and regulation among all party politicians globally and allows direct collaboration with the Global Network of Task Forces and Communities.

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How did it start

ALL PARTY PARLIAMENTARY GROUP ON AI, UK

In January 2017, Stephen Metcalfe MP and Lord Clement-Jones CBE established the All-Party Parliamentary Group on Artificial Intelligence (APPG AI) with the aim to explore the impact and implications of AI.

Following the first year of evidence meetings the APPG Advisory Board recognised the need for a global response to address emerging AI issues and proposed the establishment of AI GLOBAL GOVERNANCE Commission.

The co-chairs of the APPG AI have issued an open letter in support of the initiative, recognising that most of the AI-related issues transcend national borders and depend on the cooperation of the global community.

In a response to the recommendation of the Lords Select Committee Report as well as to existing and new initiatives globally ( see UK Government, European Commission, the French Government or the Nuffield Foundation, among others) AI GLOBAL GOVERNANCE Commission announced the formation of the group and launched the call for partnerships on 26 th April 2018.

What is AI Global Governance?

Vision

AI GLOBAL GOVERNANCE Commission is an executive body delivering the global Convention on AI.

AI global governance commission:

  • Recognises that the current speed of technological transformation means society will be transformed globally
  • Believes that there is a need for a new governance structure fit for a future with a global society transformed by agile technologies
  • Believes that there is a need for a vision of a future society transformed by the agile technologies

AI global governance commission will:

  • Agree on the vision for future AI global society by setting a framework composed of six guiding parameters: data governance, safety, ethics, purpose, trust and sustainability
  • Agree on and implement internationally respected policies fit for the future with AI, blockchain and other agile technologies focusing on: labour, education, taxation and competition by signing ‘AI Convention’ at the AI Global Governance Summit
  • Implement an open policy making system as a future AI global governance structure by prototyping a feedback loop mechanism between governments, industry and civil society.

Set Parameters

Trust - building trust among humans first

• Trusted AI is a result of trust established in the society among humans. We need globally connected cities and states, industries, businesses, sectors, academia, governments and public bodies prompting the development of a new social structure of trusted relations in the age of AI and decentralisation via blockchain.

Safety - relying on behavioural science to mitigate risks

• According to Robert Schiller*, University of Yale,current economic theories reduce the human mind to ‘rational’ consumption maximisation – the utility function. We know that a lot of foundation theories of economics are grounded upon questionable assumptions. These are assumptions that Artificial Intelligence and the introduction of the Internet aid us to radically question. Alfred Marshal said: “Economics is not a science because it deals with humans”. The human mind and behaviours change unexpectedly, not only individually, but also collectively. This is why a new behavioural economics should be the foundation to understand and manage how a human interacts with AI and other new technologies. We can thus work to mitigate the risks associated with their introduction.

Ethics - making ethics a global quest for education

• In 1927, Yale University split economics, sociology and government studies that used to belong to one department and one degree. On the one hand, it resulted in deepened specialisations. On the other, however, we lost perspective. That perspective is key to understanding that technology is nor good or bad- it is about what we do with it. We developed the technology that mirrors us, we have put humanity on a tracing paper. We realise that questions we ask with regards to the future with AI, means questioning ethics in humanity. The ethical AI means ethical people. With labour mobility and global connectivity, we need to ensure ethics education is global and that we trust data specialists and neural network programmers with their ethical maturity.

Data - making data open and the use transparent

• Data is a raw material for AI and a new commodity. Open data could be key to the success of beneficial and safe AI if regulated correctly. The more variety of training data sets, the better ability of the AI systems to make unbiased decisions. Therefore, promotion, circulation and sharing of open data will only succeed if it’s global. • Thanks to open data, the opportunities for the development of AI and applications of DLTs warrant the rule on the use of (not access to) data as long as we uphold the rule of law • There is a need to ensure right regulation for the use of data to ensure safety of people as well as human rights globally

Purpose - having a societal purpose in social and commercial activity

• According to the report by Villali**, infrastructure size conditions productivity and therefore there is a need to ensure the right infrastructure, such as research and development centres. However, this is true only under the assumption that we want higher productivity. We know by now, that this measure alone could be risky. We measure productivity to be able to deliver monetary statistics, though productivity doesn’t equal quality or sustainability. • The infrastructure that is needed therefore, are the right attitudes and governance structures that we need to develop for the AI society in the future where we ensure purpose and innovation as a driver. What we measure, determines what we deliver.

Sustainability - creating sustainable economy

• According to John Clippinger***, the risk of the bursting of the petro-dollar suggests a need for a new sustainable economy. An increase in carbon costs due to internalisation through taxes and tariffs, incentivizes and stabilizes self-sovereign, artisan and circular economy- a possibility given by blockchain. A network of cities as the emerging new structure enabled by blockchain, increases a possibility for sustainable finance and natural capital; distributed renewable energy; sustainable transportation (digitisation, sharing, decentralisation and automation); sustainable land use and production of materials; smart building, cities and infrastructure.

Envision the Future

Assumption

AI Global Governance believes that for the future society to work on the AI/ blockchain and other technologies as a backbone, we need to re-define the structures proposed in the past to enable the agility that comes with the future.
The goal of AI Global Governance is to re-think the assumptions on which the current governance structures are build.

Relevance

AI Global Governance believes that we need to define the vision of the future society and enact it. We need to envision how to adapt to co-exist with AI and ensure ethical and beneficial development and use of the emerging technologies. We need to design the future society capable of fully combining the digital, physical and biological, to continue relevant, purposeful and safe.

Parameters

An agreement to such vision will happen by setting up parameters within which we will try to reach it.

What History Tells Us

 

Global policy challenges

The need for new economy

According to Robert Shiller at Yale University, the conventional economics upon which our planet functions misrepresents our best interests. Why? Policy and law base their decisions on patterns in data we think is representative of human behaviour, but recent breakthroughs in psychology have shown for this to be untrue – representing different patterns of complexity that can both undermine and change these assumptions. Economists assume that our relationship with the world is fundamentally self-interested, but neuroscience shows this to be fundamentally flawed.

Survivability

Our behaviours as individuals has changed exponentially. The future society will look nothing like our society at present. The past thirty years have changed our understanding of time due to connectivity; and the impact of social media have fundamentally changed the way we interact with each other.

Technology is currently changing at a pace beyond what we can understand and keep up with. Yet, out governmental structures and most of our public policies remain reactive rather than proactive. The reactivity mostly penalises companies and inhibits further transformation of industry and civil society.

If this technology is moving at such fast pace, governments need to be encouraged to be as imaginative as possible, in visualising both strong principles that can lead to a sustainable/peaceful world, or visualise what such a world would look like. Our relationship with technology can be used to quickly move us away from consumptive processes, and instead move towards achieving sustainability.

Current societal structures are based on global hyper-connectivity. Connectivity is key to survival and the connectivity we know in this era is cross-border and online. It is therefore only logical that policies we set up to help enable and deepen this connectivity go in line with what we know: global.

Should our vision for public services be to catch up with the current broken model of banks and centralised platforms like Facebook, or to learn and leap frog to decentralised, de-duplicated, open and transparent gov model?

– Blockchain Digital

Examples

  • Traceability opportunities in a supply chain on blockchain that ensure fairness and equity, cannot rely on data access within the national boundaries given the global supply chains.
  • In 2011, Facebook was sued by Belgium for its selling clients data to advertisers. Belgium lost the case because Facebook was registered in Ireland and Ireland did not sue.
  • When autonomous vehicles become the norm, what happens in terms of cross-border travel? We need international standards, regulations, ethical codes to be able to govern the autonomous vehicle cross-border traffic.
  • TiSA-WTO Trade in Services Agreement- aims at opening up markets and improving rules in areas such as licensing, financial services, telecoms, e-commerce, maritime transport, and professionals moving abroad temporarily to provide services. However, based on available documents (negotiations are not public) it didn’t take into account developments such as AI and blockchain, or intangible economy making it outdated before ratification.
  • The case of TTIPP (Trans-Atlantic Trade and Investment Partnership) is another one example. In early negotiating rounds, the key to stalling the process was the question of convergence on standards of  food safety, mostly Sanitary and Phytosanitary (SPS) standards and the question of GMO that differ between the EU and the US. As trade and commerce evolves with AI, the question of standards on AI needs to be tackled before it becomes a stalling factor in international trade and commerce.
  • A scandal involving Cambridge Analityca and Facebook forced Mark Zuckerberg to testify before US Congress. On the one hand, we have a company that did not fully take into account societal developments and change in behaviour of people, customers and companies triggered by Facebook service early on to avoid negative consequences. On the other, we have the US Congress that did not fully take into account developments of Facebook service in monitoring the change in behaviour in people, customers and companies early on to think of appropriate regulations to avoid negative consequences.

Data/Digital

Data is a raw material for AI and a new commodity. We need to ensure the right regulations for open data commons and their use globally. Data are all the pieces of information we exchange that enable us to communicate: communication and collaboration rather than competition is key for survival. We need to develop a Global Digital Network Policy/Global Digital Constitution

Labour

Automation will transform mostly low-skilled labour. DLTs/blockchain has a potential of eliminating third parties completely, including professional services and the governmental bodies. There is a need to rethink the assumption of how our society is structured and what the purpose is to enable this transformation and to ensure we stay relevant.

Education

Transition through education should focus on educating how to find purpose and co-exists with AI. The agility that is required means being able to have open and adaptable minds towards the future transformed society and how to use human potential to unlock our creativity for innovation.

Taxation

“ Google tax” shows how physical barriers no longer apply- Is it tax avoidance or is it public policy neglect? We are seeing a rapid growth of cryptoeconomics but a slow response of the public regulators. Recently, Bitcoin became a host to a new crypto-token, Bit Cash. MIT Review posed a question: As there is no cap on Bitcoin, Bitcoin holders became entitled to the same number of Bitcoin Cash, but does it mean you owe income tax? How will taxation be relevant in tokenised economy?

Competition

Despite the many developments and suggestions for improvements from Nobel Prize winners over the past decade, we still continue to use GDP as the mainstream measure of how well a country performs. We know it does not account enough for intangible gains and all of the factors that show well-being. To continue limiting ourselves by focusing on productivity alone means we are missing to account for changes that have occurred in the globally connected world in the past decades

What Do We Need

AI Global Governance Commission recognises that with the current speed of technological transformation, often exceeding the human ability to comprehend and absorb it, we witness human evolution of convergence with machines. The impact of AI and other technologies triggers a transformation on the society from a sociological and behavioural perspective.

Secondly, there is a gap in current approaches to AI. The initiatives that emerge mostly focus on how to fit the technologies into the existing political and economic structures. There is a need to focus on how these structures need to alter to enable the development of the future society in which governments, industry and civil society stay relevant in whatever new form.

Lastly, the global community needs to focus on the vision of how we want these new forms and the future AI global society to be. We should have an agreement on the parameters that will guide the design of that vision globally.

AI Global Convention

We will question the assumptions on which our current structures and policies are set and produce pragmatic output that decision-makers can use to shape the agendas of their respective corporate, institutional, national, or international environments.

Within the agreed parameter framework, AI Global Governance Commission will design new public policies and sign an AI Convention committing to implementing them at the AI Convention. the AI Convention- a living document- will be updated annually at the AI Global Governance Summit that brings together key, high-level people responsible for re-creating adequate agile policies and governance structures for co-existing with AI.

How are we going to do it?

 

AI CONVENTION AND WORLD TASK FORCE

AI Global Governance Commission proposes the AI Convention and World Task Force with an aim of globally connecting the existing bodies and bringing evidence to re-work policies and governmental structures according to the vision of the future of the AI society. Most importantly, it suggests prototyping these new formations, such as the new governance required for the future with AI.

Prototyping

Prototyping is the methodology we take to deliver AI Global Governance. We believe we have to test rather than research. The World Task Force composed of the Open Community Group and the Advisory Board will prototype open policy making via a feedback loop mechanism as a new governance structure.

World Task Force

The World Task Force will deliver the feedback loop mechanism via an ongoing, fluid and flexible, real time knowledge and information transfer across industry, public and governments (local and national). The feedback loop mechanism is a result of coordinating the existing bodies, hubs, centres, institutes, industry R&D and R&I, and events based on an agreed fixed programme. These will be looped with local and national governments and regional initiatives to deliver the global AI Convention.

Convention

The global AI Convention is an agreement signed by all stakeholders- a living document. Local, national and regional authorities together with society stakeholders, such as businesses and other private and public bodies, agree on creating a future vision of AI society. This will be done within the set parameters and on 4 public policies: Labour, Education, Taxation, Competition

Future Prototypes

Future schooling concept

Blurring higher education with industry. Creating incubators and innovation bootcamps and labs, where the linear progression of schooling is disrupted and classroom and lab learning merge.

Future Job concept

A space to allow people to co-exist with machines as opposed to having a work place, to discover what will emerge; what would people do; how they would start organising and for what purpose

AI/Blockchain basis for open governance network

Real time data flow
Digital loop flow

Relevant Documents

Who are we?

PARTNERSHIPS (POTENTIAL AND EXISTING)

COUNTRIES

UK; Canada; France; Republic of Korea; Saudi Arabia; India, China

PRIVATE AND PUBLIC PARTNERS

Centre for Future of Intelligence, University of Cambridge; Media Lab, Massachusetts Institute of Technology (MIT); Google; DeepMind; Rockefeller Foundation; Behavioural Insights; Future of Life Institute; Partnership on AI; techUK; Nesta Foundation; Alan Turing Institute; Nuffield Foundation; CleanInstitute21; United Nations (UN)

Cities and states and regional authorities

Europen Union (EU), Greater London Authority; State of California; Smart Cities China, Smart Cities Korea, Smart Cities Saudi Arabia; cantons of Switzerland;

EVENTS PARTNERSHIPS

EmTech; CogX; World Summit AI; AI4Good; Web Summit; TechCrunch; Re-Work; meConvention; SXSW; Startup Grind; Blockchain Live

Who are the leading voices?

GOVERNANCE STRUCTURE

Steering Committee

Co-chair 

Permanent members (governments, businesses, civil society, academia)
One member representative of each other group (rotating)

Oversees: AI GLOBAL CONVENTION

Coordinates: AI GLOBAL SUMMIT

Ensures: Delivery to plan

Global Network of Politicians

Founder and chair – Darren Jones MP, UK
Politicians from around the world and from all political parties

Connects: All party politicians from around the world to work towards the AI GLOBAL CONVENTION

Ensures: Exchange on AI legislation and regulation among all party politicians globally

Coordinates: Direct collaboration with the GLOBAL NETWORK OF TASK FORCES and the GLOBAL NETWORK OF COMMUNITIES

Big Innovation Centre
SECRETARIAT
Co-chair

Expert Advisors

Elected relevant experts from across industries and public/civil sectors

Coordinates: GLOBAL NETWORK OF TASK FORCES

Ensures: Relevant advice from industry and public sector experts and inputs to the GLOBAL FRAMEWORK OF POLICIES AND SCOPE

 Communities 

Entrepreneurs, start-ups, individuals from across the world (ad-hoc)

Build: GLOBAL NETWORK OF COMMUNITIES

Ensures: We are being challenged and provoked with new ideas

SECRETARIAT

Professor Brigitte Andersen

CEO

Big Innovation Centre

CEO Birgitte is an international expert and entrepreneur in business innovation, IP governance and the intangible economy. During the internet boom, Birgitte launched and ran (2000 to 2010) probably London’s biggest interdisciplinary postgraduate programmes on E-Commerce and Business Innovation at University of London (Birkbeck College), where she holds the title Professor of Economics and Management of Innovation. She has led several pan EU programmes on markets for IP and intangible assets and has advised economists and policy makers of national governments in and beyond Europe including OECD, UN and WIPO.

Gosia Loj

AI Global Governance Lead

Big Innovation Centre

Gosia leads the vision and implementation of the AI Global Governance that brings together governments, industries and civil society to shape future AI policy and regulations internationally Gosia has previously worked with a number of international organisations and the United Nations' agencies, including the WTO, WIPO, NATO, and the European Commission, in the field of international standards, strategies and regulations as well as innovation management. She was a CEO of a greeNet Solutions start-up for two years prior to joining the Big Innovation Centre.

Expert Advisors

Dr. Becky Inkster

Clinical Neuroscientist

University of Cambridge

My Interests: I am a clinical neuroscientist, seeking innovative ways to improve our understanding and treatment of mental health. I love to cross and combine sectors. I have first-hand experiences with AI-driven digital interventions, social media data, molecular biology, neuroimaging, statistical methodologies, epidemiology, psychology, psychiatry, neuropsychopharmacology, policy, public engagement, the arts (fashion, theatre and music) and humanities. My Activities (2018): invited symposium at the American Psychiatric Association on AI, digital psychiatry, ethics and culture; commissioned by The Lancet Psychiatry to write a Series of papers on digital mental health; work with Facebook to develop policies and products aimed to support mental health; collaboration with the Centre for the Future of Intelligence (University of Cambridge) to present at the United Nations AI for Good Summit on the topic of trust and disadvantaged AI stakeholders; I am the Creator of the Digital Innovation in Mental Health Conference (London, UK); work on AI mental healthcare chatbot-based interventions and analyses along with creating culturally-sensitive youth-focused designs, especially for marginalized populations; researching genomics and social networking data, pairing longitudinal offline cohort data with digital footprints; translational psychiatry research on EPO clinical trials in depression related to cognition, hippocampal volume and GSK3beta genetic networks. My Academic Degrees: DPhil in molecular neuropathology (Department of Psychiatry, Oxford University, UK), BSc Hon in psychology and anthropology (University of Toronto, Canada). My Affiliations: Honorary Fellow in the Department of Psychiatry at the University of Cambridge (UK) and Visiting Scholar in the Columbia School of Social Work at Columbia University (USA). Advisory roles in AI mental healthcare, digital psychiatry & ethics include: Legal & General and Wysa.io. I am a co-founder of the social venture ‘Hip Hop Psych’. I was previously the Senior Research Manager for a Wellcome Trust programme award (£5.3m) that investigated young people’s mental health. www.beckyinkster.com

Dr. Alexander Görlach

Professor in Ethics and International Affairs

Harvard University

Alexander Görlach is an affiliate professor with the F. D. Roosevelt Foundation’s "In Defense of Democracy"-Program at Adams House, at Harvard University College. He is further a fellow to the Center for Research in the Arts, Social Sciences and Humanities (CRASSH) at the University of Cambridge, UK, and a senior fellow to the Carnegie Coincil for Ethics in International Affairs. Alex further serves as a senior advisor to the Berggruen Institute. Prior to his current engagements at Harvard Alex was a visiting scholar and a J. F. Kennedy Memorial Policy Fellow at both, the Center for European Studies and the Divinity School at Harvard. Alex holds a PhD in linguistics and another one in comparative religion. In both works, he looks into Western and Muslim societies, their narratives, capacity of dialogue, and media sphere. In the academic year 2017-2018 Alex is a visiting scholar at National Taiwan University and at City University of Hong Kong. He is also invited to give a lecture in Seoul and Singapore. In June and July 2017 Alex was invited as visiting scholar to the University of the Basque Country in San Sebastian, Spain. Alex is also a "Future World Fellow" at the Center for the Governance of Change at the International University in Spain. At the Berggruen Institute, a think tank based in Los Angeles, Alex looks into the encounter of Western and Eastern philosophy, religion, and ethics. Another topic of his at the Institute is the impact of digital transformation and artificial intelligence on societies. As a senior fellow at the Carnegie Council for Ethics in International Affairs in New York, he works on concepts of the West and what regions of the world belong to it. He will focus on Latin America. Dr. Görlach is an acclaimed writer and op-edist. His opinion pieces and essays are published internationally. He is, amongst others, a contributor to The New York Times, American Prospect, Neue Zürcher Zeitung, and DIE ZEIT. Alex is a columnist for WirtschaftsWoche, Germany's leading business weekly. He also operates as Editor at Large for the Berggruen Institute's magazine, The World Post. Alexander is the founder of the debate magazine The European, which he also ran as editor-in-chief in the years 2009 to 2015. In 2016 Alex founded the media-initiative saveliberaldemocracy.com, where he discusses the achievements and the challenges of humanism and enlightenment with internationally acclaimed scientists such as Noam Chomsky, Francis Fukuyama, Charles Taylor, and Niall Ferguson. This online magazine is meant to spark intellectual resistance against the rise of populism and autocrats in the Western world. In his last book "We want to see you fail!" Alex examines the reasons for German malice and how it poisons efforts of innovation in the German society in the current age. Alex is a frequent guest in international TV and radio programs.

Dr. Olaf J. Groth

Professor of Management, Strategy, Innovation

Hult International Business School

Dr. Olaf Groth is a Global Professor of Management, Strategy, Innovation & Economics and the Discipline Lead for Strategy, Innovation & Economics at Hult International Business School. Professor Groth is the founder and CEO of Emergent Frontiers Group LLC, which advises senior executives internationally on global innovation trends, strategy, ecosystems and commercial diplomacy, primarily in digital, energy, transportation and infrastructure domains. He has 20 years of experience in executive and advisory roles with Q.Cells North America, Monitor Group, Qualcomm, Boeing, Vodafone, AirTouch, and a transportation data start-up. Prof. Groth is Visiting Scholar at UC Berkeley’s Roundtable on the International Economy and a Fellow at the Lab Center for Competitiveness at Grenoble Business School. He also is a member of the Bay Area Economics Institute Research Council and the International Institute for Strategic Studies. Prof. Groth frequently gives Hult thought-leadership a voice by speaking and moderating innovation-related events, and by publishing in HBR, HBR France, FT and Huffington Post blogs, Harvard Business Manager Deutschland and HBR Italia magazines, Today’s CFO and Thunderbird International Business Review magazines, World Financial Review and European Business Review, as well as Hult’s own public webinars. In the past, Prof Groth was a Sr. Fellow for Innovation at the Center for Emerging Markets Enterprise at Tufts University’s Fletcher School, a judge for GE Ecomagination, adviser at the Pacific Cities Sustainability Initiative, and co-chair of the Pacific Council Energy & Environment Committee. Prof. Groth is a Member of the Global Innovation Advisory Board at Phillips66 (Fortune 100). Prof. Groth holds Ph.D., M.A.L.D., M.A.I.P.S. and B.A. degrees in International Affairs with concentrations in business, economics, technology and negotiation from the Fletcher School and the Middlebury Institute of International Studies at Monterey. His dissertation focussed on the industrial development strategies of South Korea and Taiwan. He also studied negotiation at Harvard, trade economics at Georgetown University and finance at UC Berkeley.

Inspired by

Professor Youval Noah Harari

Historian

Steven Levitt

Economist

Agata Przegalinska

AI Specialist

Richard Thaler

Behavioural Economist

David Eagleman

Neuroscientist

Charlie Brooker

Sci-fi author

Alison Darcy

AI Psychologist

Fei Fei Li

AI Specialist

Becky Inkster

Neoroscientist

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