Education, Training, and Outreach

The Berkman Klein Center and the MIT Media Lab are advancing a shared understanding of AI and its ethical and governance dimensions by guiding current and future decision-makers in the private and public sectors, as well as engaging in targeted pilot programs to educate the public at large. Efforts include:

  1. Increased Focus on AI at the Harvard Law School Cyberlaw Clinic: The Cyberlaw Clinic helps educate future generations of lawyers to better address the complex legal, ethical, and policy-related challenges presented by AI. The Clinic provides associated guidance to nonprofits and public interest-oriented start ups in addition to holding informative briefings that assist the court in understanding complex technical issues, following a long-standing BKC tradition of filing amicus curiae briefs on behalf of clients.

  1. Compliance and Computation: The Berkman Klein Center and the Media Lab have organized a 2017/2018 seminar at Harvard Law School on "Compliance and Computation." Taught by BKC Fellow John DeLong, this seminar examines the role of AI both as a solution and challenge for large institutions grappling with complex compliance standards.

  1. AI Challenges Forum: Building upon the model of the Berkman Klein Center’s highly successful Berklett Cybersecurity Project, the AI Challenges Forum brings together leading experts from law enforcement, industry, and academia to identify, explore, and discuss emerging legal and regulatory issues associated with the increased proliferation of AI systems and related technologies. Examples of challenges we plan to convene experts around include:

  • A forum for assistant state attorneys general from around the country in Cambridge who will work with AI experts and other researchers from across our collaborative platform to identify and analyze emerging AI issues that might be of concern to state governments, and to discuss and evaluate possible scenarios, including potential legal and regulatory responses that strike an appropriate balance between the risks and benefits of the new technologies.
  • An expert group, including product teams, to inform issues of bias in pattern classification and machine learning based on underrepresentation of specific populations in data sets, as well as machine learning algorithms that attempt to improve conversations online.    
  1. Educational Resources: A key element of our educational and outreach efforts is translating findings from different projects to make them accessible to a broader audience. The Berkman Klein Center and the Media Lab are developing a dedicated set of open educational resources and playlists that help the general public – including underserved communities – better understand AI systems and engage with their ethical challenges. The resources are being co-designed with representatives of the targeted audiences, following an approach pioneered by BKC’s Youth and Media project and made accessible via the Digital Literacy Resource Platform (DLRP).

Last updated

December 21, 2017