Europe can become a global leader in artificial intelligence, but only if it protects its citizens and involves workers in the regulatory and deployment process. In that regard, the European Commission’s recent draft regulation leaves much to be desired.
What does Timnit Gebru’s firing and the recent papers coming out of Google tell us about the state of research at the world’s biggest AI research department. The high point for Google’s research in…
The digital transformation holds many promises to spur innovation, generate efficiencies and improve services while boosting more inclusive and sustainable growth and enhancing well-being.
Algorithmic hiring is the usage of tools based on Artificial intelligence (AI) for finding and selecting job candidates. As other applications of AI, it is vulnerable to perpetuate discrimination. Considering technological, legal, and ethical aspects, the EU-funded FINDHR project will facilitate the prevention, detection, and management of discrimination in algorithmic hiring and closely related areas involving human recommendation.
This essay is based in part on presentations given in the Spring and Summer of 2018 at the Creative AI Meetup at the Photographer’s Gallery in London, the University of Chicago’s Franke Institute for the Humanities, the Aarhus Institute of Advanced Studies in Denmark, INRS in Quebec, and the University of Warwick Centre for Interdisciplinary Methodologies Research Forum. It is the second part of a longer discussion about deep learning, the first part of which is in the essay, “Deep Learning as an Epistemic Ensemble”.
Internet singularity? Microsoft's Gary Flake, launching Live Labs, says it's "a deeper and tighter coupling between the online and offline worlds," while a blog commenter says, "There can be no Web 2.0 Singularity in the enterprise until organizations ta
I am an AI researcher, and I’m worried about some of the societal impacts that we’re already seeing. In particular, these 5 things scare me about AI: 1. Algorithms are often implemented without ways to address mistakes. 2. AI makes it easier to not feel responsible. 3. AI encodes & magnifies bias. 4. Optimizing metrics above all else leads to negative outcomes. 5. There is no accountability for big tech companies.
The European Parliament's internal market committee (IMCO) insists humans must remain in control automated decision-making processes, ensuring that people are responsible and able to overrule the outcome of decisions made by computer algorithms.
In der Anfangszeit platzten die Wissenschaftler vor Optimismus: Die Schaffung denkender Maschinen schien nur wenige Jahre entfernt. Dann wurde es etwas still um die KI. Heute setzen wieder viele ihre Hoffnung in die KI-isierung der digitalen Gesellschaft.
This essay will be somewhat longer but let me put the main point forward first: It is time we #defundAI. Millions upon millions are thrown towards researchers and businesses promising science fiction narratives while the world is burning to the ground. It’s time to stop.
J. Hennrich, E. Ritz, P. Hofmann, and N. Urbach. Capturing artificial intelligence applications’ value proposition in healthcare – a qualitative research study, (2024)
P. Plackis-Cheng, T. Chalasani, and S. Palme. FINDHR Expert Reports, Fairness and Intersectional Non-Discrimination in Human Recommendation (FINDHR), Barcelona, (December 2023)