Participants at the event:
- Examined the extent to which trade secrecy is a necessary and desirable means for promoting socially desirable innovation in decisionmaking algorithms and consider possible alternatives.
- Considered the potential implications of trade secrecy for competition among developers of decisionmaking algorithms.
- Discussed the implications of trade secrecy for the ongoing validation, error correction and updating of these tools.
- Analyzed 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.