AI-based systems are “black boxes,” resulting in massive information asymmetries between the developers of such systems and consumers and policymakers. In order to bridge this information gap, this article proposes a conceptual framework for thinking about governance for AI.
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There are a growing number of examples that point toward a change in the way public policy is made in the digital age. This new context, which we refer to as networked policymaking, involves a greater variety of actors and voices, often collaborating in formal and informal networks, taking part in a public consideration and debate of policy questions via digital media.
This research briefing builds upon student privacy research and activities, and aims to translate these into practical take-aways.
This research briefing offers a snapshot of recent developments in the open data and privacy landscape, outlines an action map of various governance approaches to protecting privacy when releasing open data, and identifies key opportunities for decision-makers seeking to respond to challenges in this space.
This research briefing aims to translate findings from ongoing Berkman Klein Center privacy and cybersecurity research and activities into practical considerations and takeaways for key stakeholders and decision-makers.