{"id":6940,"date":"2021-04-24T19:00:42","date_gmt":"2021-04-24T18:00:42","guid":{"rendered":"https:\/\/irsg.bcs.org\/informer\/?p=6940"},"modified":"2021-04-24T19:00:42","modified_gmt":"2021-04-24T18:00:42","slug":"fairness-and-bias-in-information-retrieval-for-industry-march-2021","status":"publish","type":"post","link":"https:\/\/archive-irsg.bcs.org\/informer\/?p=6940","title":{"rendered":"Fairness and Bias in Information Retrieval Glasgow 23 March 2021"},"content":{"rendered":"

2020 was a notable year in information retrieval research and development. First there was the realization that AI applications were going to need a level of transparency that would reassure customers that they were supporting, not controlling, the search process. Second there was the realization that the search community had a responsibility to think beyond the Holy Grail of perfect relevance and take into account issues around bias, fairness and reproducibility.<\/p>\n

Back in March 2020 I was looking forward to attending a workshop being run by Graham McDonald, Iadh Ounis and Craig Macdonald at the University of Glasgow on the subject of Fair Information Retrieval in Industry.\u00a0 It turned out to the first of many cancelled events last year! So I was delighted that the team were able to run a virtual version in March 2021 with a slightly different title.\u00a0 The papers are listed below, with video links where available.<\/p>\n

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The keynote was presented by Professor Maarten de Rijke (https:\/\/youtu.be\/pmSXvPbm1lo<\/a>) who laid out what he described as the operating principles, which he then considered with great clarity and insights. It was a master class in terms of content and delivery. He encouraged us focus on robust AI, which he defined as involving<\/p>\n