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.
P. Plackis-Cheng, T. Chalasani, und S. Palme. FINDHR Expert Reports, Fairness and Intersectional Non-Discrimination in Human Recommendation (FINDHR), Barcelona, (Dezember 2023)