One of the use cases I thought was reasonable to expect from ChatGPT and Friends (LLMs) was summarising. It turns out I was wrong. What ChatGPT isn't summarising at all, it only looks like it. What it does is something else and that something else only becomes summarising in very specific circumstances.
As artificial intelligence reshapes the world, digital rights advocates warn of the downsides, ranging from the technologies' environmental footprint to surveillance and "data colonialism."
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).
The company’s goal to be carbon negative by 2030 is harder to reach, but President Brad Smith says the good AI can do for the world will outweigh its environmental impact.
The Spanish presidency circulated three discussion papers on Friday (13 October) to gather EU countries' feedback on key aspects of the AI law ahead of an upcoming negotiation session: fundamental rights, sustainability obligations and workplace decision-making.
The Israeli army has marked tens of thousands of Gazans as suspects for assassination, using an AI targeting system with little human oversight and a permissive policy for casualties, +972 and Local Call reveal.
Israeli intelligence sources reveal use of ‘Lavender’ system in Gaza war and claim permission given to kill civilians in pursuit of low-ranking militants
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”.
I wrote this essay for the printed magazine of the Elevate Festival 2024. On Friday March 1st. at 2pm I will participate in a panel discussion there on the issue of “AI vs. Democracy” that people can check out live or on stream/watch in a recording later
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?
L’ouvrage « Quand la machine apprend », de Yann Le Cun, permet de décoder certains mystères de l’intelligence artificielle, en s’intéressant au fonctionnement des neurones du cerveau... humain.
Silicon Valley utopians imagine AI solutions to ecological crisis, while being oblivious to the real material and ecological harms their fantasies wreak.
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.
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.
Bekannte Manager und Experten wie Elon Musk warnen vor den Risiken künstlicher Intelligenz. Sie wollen die Entwicklung stoppen, die Technik müsse den Menschen dienen.
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?
Here I collect a selected set of critical lenses on so-called1 'AI', including the recently hyped ChatGPT. I hope these resources are useful for others as well, and help make insightful why we need to remain vigilant and resist the AI hype. I expect to be updating this blog as time passes. If you have…
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…
Employers using software to monitor workers’ every movement are likely to be in breach of EU privacy laws, trade unions warn today as they launch a new report on artificial intelligence at work.
While classifying AI systems used at work as high-risk is appropriate, however, the Proposed Regulation is far from being sufficient to protect workers adequately.
The Commission is proposing the first ever legal framework on AI, which addresses the risks of AI and positions Europe to play a leading role globally.
How European Union non-discrimination laws are interpreted and enforced vary by context and by state definitions of key terms, like “gender” or “religion.” Non-discrimination laws become even more…
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.
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.
The ETUC is convinced that the precautionary principle, in the Treaty, means that the strategy should be inclusive and ambitious and restrict its actions to high risks.
The European Commission puts forward a European approach to Artificial Intelligence and Robotics. It deals with technological, ethical, legal and socio-economic aspects to boost EU's research and industrial capacity and to put AI at the service of European citizens and economy.
Despite its commitment to ‘trustworthy’ artificial intelligence, the EU is bankrolling AI projects that are questionable, write Fieke Jansen and Daniel Leufer.
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.
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.
Law Professor Jeremias Adams-Prassl explores the rise of the “algorithmic boss” and how artificial intelligence and the development of new technology has and will continue to impact the labour market.
Artificial intelligence (AI) and face recognition technology is being used for the first time in job interviews in the UK to identify the best candidates.
Viele reden drüber, noch mehr haben keine Ahnung, was sich dahinter verbirgt: Künstliche Intelligenz ist zu einem Buzzword geworden. Dabei sollten Menschen möglichst gut Bescheid wissen über eine Technologie, die in Zukunft über ihre Versicherungen, Finanzen, Krebsdiagnosen und Bildungschancen entscheiden wird. Julia Schneider und Lena Ziyal machen deshalb Aufklärungsarbeit – in Bildern.
In diesem Lightning Talk bekommt ihr einen Einblick in die Entstehungsgeschichte des Comic-Essays We Need to Talk, AI. Ihr erfahrt etwas über die Motivation der Autorinnen und bekommt einige Comic Seiten zu sehen. Dabei interessiert uns auch die Frage, wie, mit welchen Formaten und Medien, wir KI aufbereiten können, dass das Thema für mehr Menschen zugänglich und debattierbar wird.
A new industrial revolution is predicted. The digitalisation of the economy is expected to disrupt production processes, the world of work and society at large. But we still don’t have a clear idea…
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.
Today we released our second annual research report on the state of artificial intelligence. Since last year’s report, we’ve seen early stage AI technologies continue to filter into many everyday…
Die Digitalisierung der Arbeitswelt werde Millionen Arbeitsplätze kosten, auch in Deutschland. Eine Herausforderung, der sich die Gesellschaft noch nicht einmal ansatzweise gestellt habe, sagte der Publizist und Philosoph Richard David Precht im DLF. Auch in Zukunft würden Menschen noch arbeiten, aber vielleicht nicht mehr für Geld.
Was Microsoft für die Zukunft der Software hält und begeistert auf der Entwicklerkonferenz Build 2017 vorstellt, findet heise-online-Redakteur Fabian Scherschel einfach nur gruselig.
Die Big-Data-Expertin Kate Crawford hat dazu aufgerufen, Systeme für Künstliche Intelligenz notfalls zu hacken, um sie transparenter zu machen und ihre sozialen Auswirkungen prüfen zu können. Nötig sei eine kleinteilige Analyse.
Der Turing-Test muss umgekehrt gedacht werden: Die Frage ist nicht, ob Maschinen menschenähnlich werden, sondern ob der Mensch maschinenähnlich wird. (von Adrian Lobe)
The MoGo artificial intelligence engine defeated professional 5th DAN Catalin Taranu in a 9x9 game of Go during the Go Tournament in Paris in late March. The victory, the first officially sanctioned "non blitz" victory for a machine over a Go Master, is considered a significant achievement because the game is patterned more after human thought than chess and its possible combinations exceed the number of particles in the universe. Taranu says the system was close to reaching the level of DAN in performance. The computer did lose to Taranu in a 19x19 configuration with a nine-stone handicap. The French National Institute for Research in Computer Science and Control (INRIA) developed the artificial intelligence engine. "The software used in this victory--the result of a collaboration between INRIA, the CNRS(1), LRI(2) and CMAP(3)--is based on innovative technologies that can be used in numerous different areas, particularly in the conservation of resources which is such a vital issue when it comes to tackling environmental problems," says INRIA researcher Olivier Teytaud, who led the MoGo team.
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
Intelligence is the ability to achieve complex goals in a complex environment. All else equal, the greater the total complexity of the set of goals that the organism can achieve, the greater the system’s intelligence All else equal, the greater the co
Machines (or machine-based reasoning, aka 'AI software' or ‘info agents’) would then be able to use those laboriously –but not entirely manually– constructed ontologies to build a view (or formal model) of how the individual terms within the infor
This paper describes a novel approach that combines data from direct observation, user surveys and server logs to analyse users' browsing behaviour. It is based on a longitudinal study of university students' use of a course related website.
M. Bültemann, K. Simbeck, N. Rzepka, und Y. Kalff. Proceedings of the 16th International Conference on Computer Supported Education, Seite 272-279. SCITEPRESS - Science and Technology Publications, (2024)
S. Cazes, und C. Krämer. OECD Social, Employment and Migration Working Paper, 279. Organisation for Economic Co-operation and Development, Paris, (2022)