recent posts:

›   Call for AI-themed holiday videos, art, poems, and more

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›   Congratulations to the winners of the #AIES2024 best paper awards

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›   AIhub coffee corner: Is it the end of GenAI hype?

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›   US Global AI Research Agenda report released

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›   AIhub coffee corner: how do you solve a problem like conference reviewing?

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›   Tweet round-up from #ICWSM24

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›   AIhub coffee corner: Responsible and trustworthy AI

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›   AIhub coffee corner: Open vs closed science

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›   #AAAI2024 workshops round-up 4: eXplainable AI approaches for deep reinforcement learning, and responsible language models

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›   #AAAI2024 workshops round-up 3: human-centric representation learning, and AI to accelerate science and engineering

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›   #AAAI2024 workshops round-up 2: AI for credible elections, and are large language models simply causal parrots?

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›   Call for AI-themed holiday videos, art, poems and more

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›   AIhub coffee corner: Regulation of AI

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›   Congratulations to the #ICML2023 outstanding paper award winners

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›   AIhub coffee corner: AI risks, pause letters and the ensuing discourse

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›   Interview with Safa Alver: Scalable and robust planning in lifelong reinforcement learning

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›   VISION AI Open Day: Trustworthy AI

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›   Interview with Haotian Xue: learning intuitive physics from videos

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›   Interview with Fanglan Chen: Exploring tradeoffs in automated school redistricting

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›   “Computing and Technology Ethics: Engaging Through Science Fiction” – an interview with the authors

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›   #AAAI2023 workshops round-up 3: Reinforcement learning ready for production

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›   A list of resources, articles, and opinion pieces relating to large language models

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›   Missing links in AI governance – a new book release

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›   #AAAI2023 workshops round-up 2: health intelligence and privacy-preserving AI

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›   #AAAI2023 workshops round-up 1: AI for credible elections, and responsible human-centric AI

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›   All questions answered: how CLAIRE shapes the future of AI in Europe

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›   Counterfactual explanations for land cover mapping: interview with Cassio Dantas

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›   AIhub coffee corner: Large language models for scientific writing

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›   Interview with Katharina Weitz and Chi Tai Dang: Do we need explainable AI in companies?

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›   AI holidays 2022

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