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Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project.

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Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Extended Abstract)., , , , , and . IJCAI, page 5777-5781. ijcai.org, (2022)Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project., , , , and . CoRR, (2022)Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour., , , , , , , , , and 16 other author(s). CoRR, (2018)A Comparative User Study of Human Predictions in Algorithm-Supported Recidivism Risk Assessment., , , , and . CoRR, (2022)Why Machine Learning May Lead to Unfairness: Evidence from Risk Assessment for Juvenile Justice in Catalonia., , , and . ICAIL, page 83-92. ACM, (2019)Assessing the impact of machine intelligence on human behaviour : an interdisciplinary endeavour, , , , , , , , , and 16 other author(s). arXiv:1806.03192 cs, (June 2018)arXiv: 1806.03192.Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks., , , , , and . J. Artif. Intell. Res., (2021)Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges.. CoRR, (2019)A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work., , , , , , and . CoRR, (2018)Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities., , , , , and . AIES, page 94-100. ACM, (2020)