تقرير
Challenging Systematic Prejudices: An Investigation into Bias Against Women and Girls
العنوان: | Challenging Systematic Prejudices: An Investigation into Bias Against Women and Girls |
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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 |
الوصف غير متاح. |