Resources

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

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.

From Our Collaborators and Community

Recent Blogs from Berkman Klein Center and Media Lab Community:


AI 100

AI Now

Computer Science at Harvard

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

White House

Additional Resources

Last updated

August 1, 2017