View the full conference agenda.
Organizers: Rochelle Dreyfuss (Engelberg Center Faculty), Katherine Strandburg (ILI Faculty), and Julia Powles (ILI Fellow)
Co-sponsors: Engelberg Center on Innovation Law & Policy and Information Law Institute
Abstract: This conference, which is by invitation only, will explore the increasingly important issues raised by trade secrecy protection of data-driven decisionmaking algorithms. Its distinctive contribution will be to bring innovation policy and intellectual property law expertise to the emerging debate about these tools. Participants will:
- Examine the extent to which trade secrecy is a necessary and desirable means for promoting socially desirable innovation in decisionmaking algorithms and consider possible alternatives.
- Consider the potential implications of trade secrecy for competition among developers of decisionmaking algorithms.
- Discuss the implications of trade secrecy for the ongoing validation, error correction and updating of these tools.
- Analyze the intersection between these innovation policy issues and the concerns about accountability, transparency, privacy and fairness that have so far dominated the debate about data-driven decisionmaking algorithms.
Day 1: Friday, November 16
1:45-3:00 Session III. Case Studies: Public Sector
• Algorithms and Agencies: David Levine (Elon)
Day 2: Saturday, November 17
11:15-1:00 Session VI. Trade Secrecy and Forensic Technology Roundtable
2:00-3:30 Session VII. Mapping the Solution Space: Toward Socially Beneficial and Accountable Algorithmic Systems Roundtable
Chair: Jeanne Fromer (NYU)