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 […]
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?
If AI is controlling us – who is controlling AI?
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AI sees you. Through an ever growing network of applications, microphones and cameras, data about your behavior is continuously collected almost wherever you are. We are getting accustomed to our digital trail being used to tailor ads and to make your Netflix binging more convenient. These things might seem harmless, but there is a reason why this kind of data is a commodity coveted by […]
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 […]
AI rationality and responsibility – A talk about who is in charge
Unlike human judgment, machines are not affected by emotions in their decision making. This can make them seem superior in the sense of being more logical or rational, which is often seen as more accurate or reliable than intuition or “gut feeling”…
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”…
Ethical Crashing and Safety Requirements of Autonomous Vehicles
The ethical discussion of autonomous vehicles has been fairly one-sided. It has focused on how vehicles should behave in case of an unavoidable crash and how is responsible if the vehicle crashes. But why don’t we talk about safety?