Just last week, the European Union published its Guidelines for Trustworthy AI and a few weeks before version 1 of the IEEE initiative on Ethically Aligned Design of Intelligent and Autonomous Systems were presented. (full disclosure: I am member of the EU high level group on AI and of the executive committee of IEEE ethically aligned design initiative, the bodies behind these two reports). The impact of these two reports, coming from the European Union and from the leading international professional organisation of engineers is potentially very large. Engineers are those that ultimately will implement AI to meet ethical principles…
(this blog was originally written for the European AI Alliance; feel free to join this platform dedicated to European citizens for discussing EU policies on AI)
Nowadays, Artificial Intelligence (AI) is ubiquitous. We can hardly open a newspaper or tune in to a news show without getting some story about AI. AI is probably the technology most talked about. But AI means different things to different people.
I’ve been working on the field of AI, both in industry as in academia since the late 80’s. Developed my first AI system in 86, an expert system to determine eligibility to social…
Last Friday the movie “Do you trust this computer” by Chris Paine was launched (free to watch until the end of Sunday, April 10). It is a documentary that deals with the potential consequences of Artificial Intelligence (AI), and repeats once more Elon Musk’s often quoted warnings about the dangers of AI. In fact, a representative for Elon Musk has confirmed that Musk is bankrolling the movie’s free online release.
Unfortunately, even though it displays an impressive list of experts, the overall message is too biased and one-sided to be trusted.
In short, it is a dangerous distraction from the…
Artificial Intelligence (AI) is increasingly affecting our lives in smaller or larger ways. In order to ensure that systems will uphold human values, design methods are needed that incorporate ethical principles and address societal concerns. In this article, I introduce the ART design principles (Accountability, Responsibility and Transparency) for the development of AI systems sensitive to human values.
There is an increasing awareness that a responsible approach to Artificial Intelligence (AI) is needed to ensure the safe, beneficial and fair use of AI technologies, to consider the implications of moral decision making by machines, and the ethical and to define…
Big data worries me. And this idea that Artificial Intelligence (AI) cannot do without big data worries me most. Just this week, a very quick and by no means significant mini-survey during the World Summit AI in Amsterdam revealed that around 20% of the participants expect that more and bigger data is key for the further development of AI. In fact, I believe that small data will be the next big thing in AI; it will make AI smarter. This is why:
Big data demands a lot of effort, is very expensive and brings with it many problems. One needs…
An increasing number of researchers, practitioners and policy makers are realizing that much needs to be done to deal with bias in data and algorithms, and to promote transparency of AI models. Only in this way can the proper use of AI can be ensured and benefits to people’s lives and support for fundamental human rights can be expected
Opacity in Machine Learning, the so-called black-box effect, is often mentioned as one of the main impediments for transparency in Artificial Intelligence. Machine Learning algorithms are developed with the main goal of improving functional performance. This leads to complex functions that…
