Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Philip Treleaven"'
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 7, Iss , Pp 100267- (2024)
This research investigates bias in AI algorithms used for monitoring student progress, specifically focusing on bias related to age, disability, and gender. The study is motivated by incidents such as the UK A-level grading controversy, which demonst
Externí odkaz:
https://doaj.org/article/78f706ccadda4872a2431ec4a53490b6
Autor:
Adriano Koshiyama, Emre Kazim, Philip Treleaven, Pete Rai, Lukasz Szpruch, Giles Pavey, Ghazi Ahamat, Franziska Leutner, Randy Goebel, Andrew Knight, Janet Adams, Christina Hitrova, Jeremy Barnett, Parashkev Nachev, David Barber, Tomas Chamorro-Premuzic, Konstantin Klemmer, Miro Gregorovic, Shakeel Khan, Elizabeth Lomas, Airlie Hilliard, Siddhant Chatterjee
Publikováno v:
Royal Society Open Science, Vol 11, Iss 5 (2024)
Business reliance on algorithms is becoming ubiquitous, and companies are increasingly concerned about their algorithms causing major financial or reputational damage. High-profile cases include Google’s AI algorithm for photo classification mist
Externí odkaz:
https://doaj.org/article/464cc2f8c6234b59a73d03bbbb4c5d8f
Publikováno v:
AI, Vol 3, Iss 4, Pp 961-974 (2022)
The digital revolution has brought ethical crossroads of technology and behavior, especially in the realm of sustainable cities. The need for a comprehensive and constructive ethical framework is emerging as digital platforms encounter trouble to art
Externí odkaz:
https://doaj.org/article/9d431ef8d19243c4a3debfe82c9fea5e
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
Future societal systems will be characterized by heterogeneous human behaviors and data-driven collective action. Complexity will arise as a consequence of the 5th Industrial Revolution and 2nd Data Revolution possible, thanks to a new generation of
Externí odkaz:
https://doaj.org/article/65277a5f60f04e6b855a2e879edc7ad6
Autor:
Zeynep Engin, Justin van Dijk, Tian Lan, Paul A. Longley, Philip Treleaven, Michael Batty, Alan Penn
Publikováno v:
Journal of Urban Management, Vol 9, Iss 2, Pp 140-150 (2020)
Big data analytics and artificial intelligence, paired with blockchain technology, the Internet of Things, and other emerging technologies, are poised to revolutionise urban management. With massive amounts of data collected from citizens, devices, a
Externí odkaz:
https://doaj.org/article/310b6330edb64d859109b0437f9f11cc
Autor:
Jonathan C K Wells, Janet Stocks, Rachel Bonner, Emma Raywood, Sarah Legg, Simon Lee, Philip Treleaven, Sooky Lum
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0124193 (2015)
Information on body size and shape is used to interpret many aspects of physiology, including nutritional status, cardio-metabolic risk and lung function. Such data have traditionally been obtained through manual anthropometry, which becomes time-con
Externí odkaz:
https://doaj.org/article/651485be61b24615b8380fbe97a83279
Publikováno v:
Computer. 55:20-29
Autor:
Hirsh Pithadia, Enzo Fenoglio, Bogdan Batrinca, Philip Treleaven, Radu Echim, Andrei Bubutanu, Charles Kerrigan
Publikováno v:
SSRN Electronic Journal.
Autor:
Philip Treleaven
Publikováno v:
SSRN Electronic Journal.
Autor:
Adriano Koshiyama, Stefano B. Blumberg, Nick Firoozye, Philip Treleaven, Sebastian Flennerhag
Publikováno v:
Quantitative Finance. 22:1071-1090