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 winter is coming?
The history of artificial intelligence (AI) has been a history of boom and bust. Periods of hype, exaggerated expectations and plentiful funding have been followed by periods known as “AI Winters”…
Diffusion by Infusion – Has AI Spread by Piggybacking on Mobile Apps?
Social and ethical impacts of any technology presuppose its diffusion. That is why we need to understand the mechanisms underlying the spread of AI. This post summarizes a recent study of…
Was AlphaGo Asia’s “Sputnik Moment”?
Over the next decade, many governments will face a series of choices with regards to the deployment and regulation of machine learning technology. These choices are likely to be influenced by public opinion and interest in this technology.