A (relatively) specific proposal on how to regulate algorithmic disclosure of recommendation systems
Outlining a policy recommendation for algorithmic disclosure requirements.
A policy for more transparent recommender systems
Providers of consumer-facing recommender systems should be required to reveal how they work to an independent public authority. They would have to describe which types of algorithms are used, and how these are optimized, i.e., their goal functions, and what types of input data have […]
Spilling the recommended beans: why companies should have to disclose the ingredients of their recommendation systems
A proposal for algorithmic transparency.
AI in the public sector – more of a human process
Robots and automation are not things of the future; they are popping up in various places in the public sector. AI is increasingly used for both small and big decisions such as sorting incoming mail […]