Challenging Systematic Prejudices: An Investigation into Bias Against Women and Girls

التفاصيل البيبلوغرافية
العنوان: Challenging Systematic Prejudices: An Investigation into Bias Against Women and Girls
المؤلفون: Van Niekerk, Daniel, Peréz-Ortiz, María, Shawe-Taylor, John, Orlic, Davor, Drobnjak, ivana, Kay, Jackie, Siegel, Noah, Evans, Katherine, Moorosi, Nyalleng, Eliassi-Rad, Tina, Tanczer, Leonie Maria, Holmes, Wayne, Deisenroth, Marc Peter, Straw, Isabel, Fasli, Maria, Adams, Rachel, Oliver, Nuria, Mladenić, Dunja, Aneja, Urvashi
المصدر: UNESCO, IRCAI: Paris, France.
بيانات النشر: UNESCO, IRCAI
سنة النشر: 2024
المجموعة: University College London: UCL Discovery
مصطلحات موضوعية: Artificial Intelligence, Gender, Bias
الوصف: The International Research Centre on Artificial Intelligence (IRCAI), under the auspices of UNESCO, in collaboration with UNESCO HQ, has released a comprehensive report titled “Challenging Systematic Prejudices: An Investigation into Gender Bias in Large Language Models”. This groundbreaking study sheds light on the persistent issue of gender bias within artificial intelligence, emphasizing the importance of implementing normative frameworks to mitigate these risks and ensure fairness in AI systems globally. We are excited to announce this new in-depth report in a partnership with a number of authors, set for release on International Women’s Day on March 8, 2024.
نوع الوثيقة: report
وصف الملف: text
اللغة: English
العلاقة: https://discovery.ucl.ac.uk/id/eprint/10188772/1/388971eng.pdfTest; https://discovery.ucl.ac.uk/id/eprint/10188772Test/
الإتاحة: https://discovery.ucl.ac.uk/id/eprint/10188772/1/388971eng.pdfTest
https://discovery.ucl.ac.uk/id/eprint/10188772Test/
حقوق: open
رقم الانضمام: edsbas.C445E64E
قاعدة البيانات: BASE