Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ashita Anuga"'
Publikováno v:
AI Assurance ISBN: 9780323919197
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb216d1cc7123996d457ff255f102a67
https://doi.org/10.1016/b978-0-32-391919-7.00030-5
https://doi.org/10.1016/b978-0-32-391919-7.00030-5
Autor:
Farid Ahmed, Ayodeji Alajo, Syed Bahauddin Alam, Amira Al-Khulaidy Stine, William Ampeh, Ashita Anuga, Feras A. Batarseh, Sindhu Bharathi, Sumathi Chakravarthy, Jaganmohan Chandrasekaran, Laura J. Freeman, Jay Gendron, Nitish Gorentala, Sai Gurrapu, Flora Haberkorn, Hamdi Kavak, Uma Krishnaswamy, Erik W. Kuiler, Dinesh Kumar, William Franz Lamberti, Antoni Lorente, Ralitsa Maduro, Connie L. McNeely, Anderson Monken, Badri Narayanan, Shounkie Nawani, Minh Nguyen, Kim Niewolny, Ayorinde Ogunyiola, Dominick J. Perini, Brianna B. Posadas, Abdul Rahman, Md Nazmul Kabir Sikder, Andrei Svetovidov, Amanda Tolman, Hong-Linh Truong, Shoaib Usman, Pei Wang, Madison J. Williams
Publikováno v:
AI Assurance ISBN: 9780323919197
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f70d2123e3ff14af788ea8804f25704
https://doi.org/10.1016/b978-0-32-391919-7.00006-8
https://doi.org/10.1016/b978-0-32-391919-7.00006-8
Autor:
Ashita Anuga, Andrei Svetovidov, Feras A. Batarseh, Dominick Perini, Minh Nguyen, Amanda Tolman, Qasim Wani
Publikováno v:
FLAIRS Conference
Conventionally, the approach to policy making includesweighing the costs and benefits (i.e., tradeoffs) of certainchoices to calculate expected outcomes. However, quantifyingchoices is not always straightforward without understandingmany factors such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a116295fcdd3d73323a6f601526dabe8
https://doi.org/10.32473/flairs.v34i1.128499
https://doi.org/10.32473/flairs.v34i1.128499
Autor:
Feras A. Batarseh, Laura Freeman
AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI provides readers with solutions and a foundational understanding of the methods that can be applied to test AI systems and provide assurance. Anyone developing software systems with