"The Center for AI and Digital Policy aims to promote a better society, more fair, more just —
a world where technology promotes broad social inclusion based on fundamental rights, democratic institutions, and the rule of law."
FEATURED - Access Now and AlgorithmWatch, "Trust and excellence — the EU is missing the mark again on AI and human rights"
Yuval Noah Harari at TED 2018 - "Why fascism is so tempting - and how your data could power it"
James Gleick, Algorithmic Democracy (review of Jill Lepore's If Then: How the Simulmatics Corporation Invented the Future), NY Review of Books (October 8, 2020)
GPT-3, A robot wrote this entire article. Are you scared yet, human? The Guardian (September 8, 2020)
Karen Hao, Eight case studies on regulating biometric technology show us a path forward, MIT Technology Review (September 4, 2020)
Carly Kind, The Term "Ethical AI" is Finally Starting to Mean Something, VentureBeat (August 23, 2020)
China's Surveillance State Goes Global, The Atlantic (September 2020).
United Nations 2045 Roundtable -
"The UN at 100"
23 September 2020
María Elena Agüero, Secretary General, World Leadership Alliance – Club de Madrid (WLA-CdM)
Marc Rotenberg, The Tech Giants Come to Congress, and Democracy Wins a Round, Washington Spectator (August 12, 2020)
Marc Rotenberg, After Latest Facebook Fiasco, Focus Falls on Federal Commission, Techonomy (December 21, 2018)
Marc Rotenberg, The Facebook-WhatsApp Lesson: Privacy Protection Necessary for Innovation, Techonomy (May 4, 2018)
The AI Policy Sourcebook is the first compendium of AI policy, providing essential information for policy makers, researchers, journalists, and the public. Edited by Marc Rotenberg, the AI Policy Sourcebook includes global AI frameworks, such as the OECD AI Principles and the Universal Guidelines for AI. The Sourcebook also includes materials from the European Union and the Council of Europe, national AI initiatives, as well as recommendations from professional societies, including the ACM and the IEEE.
The Privacy Law Sourcebook 2020, edited by Marc Rotenberg, includes major US privacy laws, the GDPR, the Council of Europe Privacy Convention, and related materials.
Marc Rotenberg, "Schrems II, from Snowden to China: Toward a New Alignment on Transatlantic Data Protection," European Law Journal (September 2020)
This special issue proposes to explore the normative and conceptual foundations of digital governance, digital ethics and digital regulation of Artificial Intelligence in the context of the sustainable development of the digital ecosystem.
As design choices have a normative effect, we invite papers exploring the norms and governance embedded in code and infrastructure. The vision, values and business model of the organizations are encoded in the design of AI tools and shape how personal data are processed and users attention and conduct are altered. The special issue invites contributions that critical explore the challenges related to designing AI.
AI and values
Values evolve depending on the socio-cultural, politico-economic and technological context. We invite contributions related to the impact of the design of AI on the future of human values, rights and liberties, including autonomy, the right to privacy, the rule of law, and democratic institutions.
Legal and Ethical Policy
The special issue seeks to identify and address new legal and ethical challenges related to the sustainable development of the digital ecosystem, with a focus on how to adapt AI-relevant norms of conduct to diverse cultural, social, and political contexts.
Possible topics include:
Deadline for submission: 9th January 2021
Submissions should be original papers and should not be under consideration for publication elsewhere. Extended versions of high quality conference papers that are already published at relevant venues may also be considered as long as the additional contribution is substantial (at least 30% of new content).
Authors must follow the formatting and submission instructions of the AI and Ethics journal at https://www.springer.com/journal/43681.
During the first step in the submission system Editorial Manager, please select “Original Research” as article type. In further steps, please confirm that your submission belongs to a special issue and choose from the drop-down menu the appropriate special issue title.
Eva Thelisson, MIT Connection Science Lab, AI Transparency Institute, Switzerland,
Amandeep Gill, Global Health Centre project on International Digital Health & AI Research Collaborative (I-DAIR), Graduate Institute Geneva, Switzerland
Himanshu Verma, École Polytechnique Fédérale de Lausanne, Switzerland
Kshitij Sharma, Norwegian University of Science and Technology, Norway
Marc Rotenberg, Center for AI and Digital Policy, Michale Dukakis Institute, USA
Danielle Belgrave, Healthcare Intelligence Group, Microsoft Research, UK
Ann Cambon-Thomsen, French National Center for scientific research, France
Marc Rotenberg, "Artificial Intelligence and the right to algorithmic transparency " in M. Ienca, et al, The Cambridge Handbook of Life Science, Information Technology and Human Rights (2021)
(Forthcoming October 2020)
Frank Pasquale, New Laws of Robotics: Defending Human Expertise in the Age of AI (2020)
"Simulmatics failed but not before its scientists built a very early version of a machine . . . that manipulates opinion, exploits attention, commodifies information, divides voters, fractures communities, alienates individuals, and undermines democracy."
Jill Lepore, If Then: How the Simulmatics Corporation Invented the Future (2020)
"We humans tend to overestimate AI advances and underestimate the complexity of our own intelligence."
Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans (2019)
"The human principle stands against the machine principle. . . ."
- Paul Nemitz and Matthias Pfeffer, The Human Principle. Power, Freedom and Democracy in the Age of Artificial Intelligence (2020) (in German)
ORDER The Human Principle »
"AI in medicine isn't just a futuristic premise. The power of AI is already being harnessed to help save lives."
- Eric Topol, Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again (2019)
How we choose to control AI is “possibly the most important question facing humanity”
- Stuart Russell, Human Compatible: Artificial Intelligence and the Problem of Control (2019)
"Everywhere you look - in the judicial system, in healthcare, in policing, even online shopping - there are problems with privacy, bias, error, accountability, and transparency that aren't going to go away easily."
- Hannah Fry, Hello World: Being Human in the Age of Algorithms (2018)
"causal questions can never be answered from data alone.”
-Judea Pearl, The Book of Why (2018)
"The more that people believe in a positive future for technology, the greater the chance there is of having one."
-Garry Kasparov, Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins (2018)
". . . the question is whether every aspect of human thought is reduceable to a logical formalism . . . whether human thought is entirely computable."
Computer Power and Human Reason: From Judgment to Calculation (1976)
- The Center for AI and Digital Policy
“The United States must work with other democratic countries to establish red lines for certain A.I. applications and ensure fairness, accountability and transparency as A.I. systems are deployed . . . The rate of technological change is accelerating. Countries that seek to preserve fundamental rights must act before it is too late.”
"Algorithmic accountability is a complex topic, but the impact cuts broadly across life in America, from jobs and credit to housing and criminal justice."
“This critical question of automated decision-making lies at the heart of modern data protection law, ensuring fairness and transparency about the decisions impacting individuals.”
"Democratic countries should establish algorithmic transparency to ensure fairness and accountability in the digital world."
“I do want to emphasize how very important it is to move forward today on a project to establish algorithmic transparency and a set of framework principles for the deployment of AI that protects the interests of the individual.”
“As decisions are automated, processes become more opaque, less accountable. . . . At the intersection of law and technology — knowledge of the algorithm is a fundamental right, a human right”
- UNESCO Knowledge Café (Paris 2015)
"The United States needs comprehensive privacy legislation to safeguard the personal data of Americans. We must also establish an agency charged with advocating for the privacy interests of America. Surveillance technology takes hold quickly. There is not much time."