recent posts:

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

---

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

---

›   US Global AI Research Agenda report released

---

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

---

›   Tweet round-up from #ICWSM24

---

›   AIhub coffee corner: Responsible and trustworthy AI

---

›   AIhub coffee corner: Open vs closed science

---

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

---

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

---

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

---

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

---

›   AIhub coffee corner: Regulation of AI

---

›   Congratulations to the #ICML2023 outstanding paper award winners

---

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

---

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

---

›   VISION AI Open Day: Trustworthy AI

---

›   Interview with Haotian Xue: learning intuitive physics from videos

---

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

---

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

---

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

---

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

---

›   Missing links in AI governance – a new book release

---

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

---

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

---

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

---

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

---

›   AIhub coffee corner: Large language models for scientific writing

---

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

---

›   AI holidays 2022

---

›   CLAIRE and euRobotics: all questions answered on humanoid robotics

---

next page →