The thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) took place in New Orleans towards the end of last year. As part of the programme of invited talks, Lora Aroyo spoke about her work on responsible AI, specifically looking at the data annotation process and what this means for models that use that data. The rapid progress of AI in recent years has been, in large part, due to the availability of large quantities of data for model training. However, these advancements have left in their wake a trail of problematic model behaviours. Lora's research is focussed on studying the characteristics of data, such as stereotypes and biases, that impact on the models.

During the first four years of life, children can name and recognise over one thousand object categories, learn the syntax of their language, and absorb the cultural and social properties of where they grew up. By the age of three, they become one-shot learners in many domains. Linda's research focusses on cognitive development in young children, and she wants to understand the structure of experiences that gives rise to all of the knowledge that a child obtains in such a short time. To carry out her research, Linda studies the world from the learner's point of view, by using cameras, audio recorders and motion-tracking sensors to collect data from babies and young children. These sensors have facilitated different projects, including those that focus on recording 24 hours a day, as the child and their family go about their daily routine, and those that are more focussed data-collection sessions which take place in the laboratory.

The thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), held in New Orleans, drew to a close on Saturday 16 December. In this post, we take a look at what participants got up to during the last few days of the conference. You can find part one of our round-up here. This is my attempt to convey how unreasonable and unimaginably large #NeurIPS2023 is. So excited to be part of the Intrinsically Motivated Open-Ended Learning workshop at #NeurIPS2023!

The thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) kicked off on Sunday 10 December, in New Orleans. So far, events have included tutorials, invited talks, posters, affinity events, and socials. Find out what participants have been getting up to during the first few days of the conference. Welcome all to @NeurIPSConf 2023! https://t.co/4H5YNoJTvT Linda Smith is always inspiring and gave amazing plenary at #NeurIPS2023, "AI would do better for itself if it studied the structure of the data" that children receive.

The thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) is due to kick-off on Sunday 10 December and run until Saturday 16 December. There is a bumper programme of events, including invited talks, orals, posters, tutorials, workshops, and socials, not to mention AIhub's session on science communication. There are seven invited talks this year. For this year's conference, there will be a total of 14 tutorials. These will be held on Monday 11 December, in person only.

We're pleased to announce that we will be giving a short introduction to science communication for AI researchers at NeurIPS this year. This will be held in person on Monday 11 December from 12:45. If you are attending the conference and fancy finding out how you can communicate your research to a general audience in different formats, then please do join us. Following an hour-long introductory talk, there will be an optional, open, drop-in session where you can try out some of the things you learnt in the course, ask any sci-comm questions, and chat about your ideas and stories. One of the challenges facing the field of AI is its portrayal in the media, which leads to misconceptions among policy makers, business leaders, and the general public alike.