Artificial intelligence systems face new demands for provable accountability

As artificial intelligence systems start speaking directly to customers and patients, institutions are struggling to prove exactly what these models said at critical decision moments. Commenters argue that output logging, organizational design, and new regulation will be needed to close this accountability gap.