The BKC Policy Practice on Artificial Intelligence (BKC PP: AI) is a public interest-oriented program that helps governmental, nonprofit, and private sector organizations implement AI best practices and turn AI principles into operational realities. The AI policy practice connects decision makers with faculty, students, and experts from across the BKC community.
BKC PP: AI builds upon the Center’s previous Ethics and Governance of AI work, including our Principled AI research, tackles concrete implementation challenges, and co-develops pragmatic approaches with public and private decision makers working to develop, deploy, and use AI-based systems in socially-responsible ways. The policy practice creates a space for learning, knowledge-sharing, and capacity-building in which participating organizations can work with small, agile teams composed of faculty, staff, students, and outside expert collaborators to identify key problems and create actionable outputs. Outputs range from policy frameworks to open educational resources and are developed with an eye towards inclusion, replicability, and broad usefulness.
Recent work, often in collaboration with local partner organizations, included support of public sector agency representatives from Germany, Thailand, and Colombia within the context of the implementation of national AI strategies and sector-specific translations of AI principles into practice. With the private sector, we have collaborated with organizations both large and small, identified the concrete challenges they face in developing, deploying, and using AI in socially-responsible ways, and created resources to help them navigate those challenges.
In the current academic year, a focus is on principles and practices in the fields of education and connected learning spaces, involving youth and adult learners. Ongoing projects include various collaborations with intergovernmental organizations such as ITU, UNICEF, and the OECD as well as the government of Colombia and the city of Helsinki.