Our work is designed to catalyze and advance AI in the public interest, with the aim of including the broadest possible set of voices in the discussions around understanding and addressing the human impacts of AI. The Berkman Klein Center and the MIT Media Lab act as a collaborative platform through which stakeholders working across disciplines, sectors, and geographies can meet, engage, learn, and share. This set of related resources features a sample of the notable work being conducted within the broader community. Our sustained efforts will build upon prior and existing collaborations, and we are excited to establish new connection points with others in the field.
From Our Fund Partners
Knight Foundation, Omidyar Network, and Hewlett Foundation
- The Knight Foundation press release announcing the Ethics and Governance of Artificial Intelligence Fund issued January 10, 2017
- Frequently Asked Questions about the Fund
- A blogpost from the Knight Foundation and video interview with President Alberto Ibargüen detailing the initiative
MIT Media Lab
- The Media Lab's ethics and governance of artificial intelligence announcement
- MIT News coverage
- Blog posts published by Joi Ito, director of the MIT Media Lab, on "Society in the Loop Artificial Intelligence" and on the "Future of Work in the Age of Artificial Intelligence"
- President Barack Obama met with Joi Ito and Scott Dadich in the White House to discuss "the hope, the hypes, and the fear around AI" in an interview for Wired
- A paper co-authored by Iyad Rahwan, Associate Professor of Media Arts & Sciences at the MIT Media Lab, on "The social dilemma of autonomous vehicles"
Podcasts + Videos
A range of people from across the Berkman Klein Center and the Media Lab, as well as the broader Harvard and MIT communities, have been actively working on issues involving AI and related topic areas as part of their academic and professional work. Their voices reflect distinct and nuanced perspectives on an array of issues that intersect with AI. This initial set of podcasts and videos offers context on diverse challenges and opportunities, and the collection will continue to grow as we add additional voices from our networks.
- Jonathan Zittrain | 'Love the Processor, Hate the Process'
- HLS Panel | Fake News, Concrete Responses: At the Nexus of Law, Technology, and Social Narratives
- BKC Workshop | Computers Gone Wild: Impact and Implications of Developments in Artificial Intelligence on Society
- Jonathan Zittrain on Openness and Oversight of Artificial Intelligence
- Malavika Jayaram on The Geographic Opportunities and Challenges of AI
- Barbara Grosz on Designing AI to Complement Humanity
- Kate Darling on AI and Human Development
- danah boyd on Social and Ethical Challenges of AI
- Chinmayi Arun on AI Threats to Civil Liberties and Democracy
- Beth Altringer on AI and Ethical Design
From Our Collaborators and Community
Recent Blogs from Berkman Klein Center and Media Lab Community:
- 6/26/2017: "AI and the Law: Setting the Stage" by Urs Gasser
- 5/18/2017: "Autonomous Systems — Is it time for empirical research?" by Urs Gasser
- 5/15/2017: " Some Starting Questions Around Pervasive Autonomous Systems" by Jonathan Zittrain
- 5/7/2017: "The Robot Dog Fetches For Whom?" by Judith Donath
- 4/18/2017: "Our Machines Now Have Knowledge We'll Never Understand" by David Weinberger
- 1/21/2017: "The Ethics and Governance of AI: On the Role of Universities" by Urs Gasser
- A summary of the AI Now public symposium hosted by the White House and New York University's Information Law Institute, held in July 2016, on the "Social and Economic Implication of Artificial Intelligence Technologies in the Near-Term"
Computer Science at Harvard
- Among the ground-breaking projects underway in the Harvard Computer Science Department is research at the intersection of AI and economics, on the Turing test, and about autonomous systems
- Barbara J. Grosz, Higgins Professor of Natural Sciences at the Harvard School of Engineering and Applied Sciences, taught a course during the Fall 2016 semester on "Intelligent Systems: Design and Ethical Challenges"
Data & Society
- The Intelligence and Autonomy Initiative, which is developing policy research connecting the dots between robots, algorithms and automation
- An AI Pattern Language paper in which D&S presents a taxonomy of social challenges that emerged from interviews with a range of practitioners working in the intelligent systems and AI industry
- Another paper in which D&S employs the concept of "moral crumple zones" within human-machine systems as a lens through which to think about the limitations of current frameworks for accountability in human-machine or robot systems
- The Algorithms and Publics project, which aims to map how the public sphere is currently understood, controlled, and manipulated in order to spark a richer conversation about what interventions should be considered to support the ideal of an informed and engaged citizenry
- The Data & Society workshop "Who Controls the Public Sphere in an Era of Algorithms?" was informed by and produced a set of documents for understanding what's at stake: Mediation, Automation, Power, a contemporary issues primer; Assumptions and Questions, a background primer; Case Studies, a complement to the contemporary issues primer; Executive Summary for the workshop; and Workshop Summary, which includes extended notes from the workshop
Digital Asia Hub
- A number of articles released by the Digital Asia Hub on artificial intelligence in Asia, including reflections from the in inaugural "AI in Asia" conference
Partnership on AI
- The Partnership on AI, established to study and formulate best practices on AI technologies, to advance the public's understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society
- The Obama administration's "Report on the Future of Artificial Intelligence" published in October 2016 and focused on the opportunities, considerations, and challenges presented by artificial intelligence
- The Obama administration's announcement of a series of workshops and interagency working groups to learn more about the benefits and risks associated with artificial intelligence