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.
Protect me from what AI wants? The binge-watching problem part 3
While it seems that algorithms at present mostly use our myopia to promote engagement, this may also give AI the potential to help us commit to long-term goals. It is a problem, however, that these goals sometimes disagree with the data-driven business models of platform providers. But perhaps […]