The European Commission has moved to "compel" Microsoft to provide information about generative artificial intelligence (AI) risks on its Bing search engine, threatening it with a fine, according to a statement on Friday (17 May).
I find that one of the most frustrating kinds of AI hype is when people who are actually in a position to use their own expertise to push back instead give in to the FOMO and do the hype for tech companies. Today's case in point is a recent article in The Chronicle of Higher Education...
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”.
The prolific use of Artificial Intelligence Large Language Models (LLMs) present new challenges we must address and new questions we must answer. For instance, what do we do when AI is wrong?
Tl;dr: The harms from so-called AI are real and present and follow from the acts of people and corporations deploying automated systems. Regulatory efforts should focus on transparency, accountability and preventing exploitative labor practices.
William Eden forecasts an AI winter. He argues that AI systems (1) are too unreliable and too inscrutable, (2) won’t get that much better (mostly due to hardware limitations) and/or (3) won’t be that profitable.
Wie funktionieren Systeme wie ChatGPT? Sind sie wirklich „intelligent“? Was passiert, wenn sie großflächig zum Einsatz kommen? Was hätte das für Auswirkungen auf Bibliotheken?
E. Bender, T. Gebru, A. McMillan-Major, und S. Shmitchell. Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, New York, Association for Computer Machinery – ACM, (März 2021)