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 and Moral Responsibility
We are entering a new chapter in the digitalisation of society, advancing from machines as decision support, to machines as “decision makers”. This is made possible by the many breakthroughs in the development of artificial intelligence (AI) in the last decade. There is reason to expect that AI will be used increasingly not only for private decisions, but also for decisions made by public authorities and institutions. Who is responsible when a machine commits a serious error?
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”…
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.
On the alleged safety of autonomous vehicles
An autonomous vehicle is a vehicle that can autonomously execute a high-level transportation task – for example, “get me from A to B” – after human instructions. Autonomous vehicles have been touted for a while as “the next big thing”…