Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Lanteigne, Camylle"'
Autor:
Gupta, Abhishek, Royer, Alexandrine, Heath, Victoria, Wright, Connor, Lanteigne, Camylle, Cohen, Allison, Ganapini, Marianna Bergamaschi, Fancy, Muriam, Galinkin, Erick, Khurana, Ryan, Akif, Mo, Butalid, Renjie, Khan, Falaah Arif, Sweidan, Masa, Balogh, Audrey
The 2nd edition of the Montreal AI Ethics Institute's The State of AI Ethics captures the most relevant developments in the field of AI Ethics since July 2020. This report aims to help anyone, from machine learning experts to human rights activists a
Externí odkaz:
http://arxiv.org/abs/2011.02787
The history of science and technology shows that seemingly innocuous developments in scientific theories and research have enabled real-world applications with significant negative consequences for humanity. In order to ensure that the science and te
Externí odkaz:
http://arxiv.org/abs/2009.07262
In April 2020, the Electronic Frontier Foundation (EFF) publicly called for comments on expanding and improving the Santa Clara Principles on Transparency and Accountability (SCP), originally published in May 2018. The Montreal AI Ethics Institute (M
Externí odkaz:
http://arxiv.org/abs/2007.00700
Autor:
Gupta, Abhishek, Lanteigne, Camylle, Heath, Victoria, Ganapini, Marianna Bergamaschi, Galinkin, Erick, Cohen, Allison, De Gasperis, Tania, Akif, Mo, Butalid, Renjie
These past few months have been especially challenging, and the deployment of technology in ways hitherto untested at an unrivalled pace has left the internet and technology watchers aghast. Artificial intelligence has become the byword for technolog
Externí odkaz:
http://arxiv.org/abs/2006.14662
Autor:
Gupta, Abhishek, Lanteigne, Camylle
In February 2020, the European Commission (EC) published a white paper entitled, On Artificial Intelligence - A European approach to excellence and trust. This paper outlines the EC's policy options for the promotion and adoption of artificial intell
Externí odkaz:
http://arxiv.org/abs/2006.09428
In a world increasingly dominated by AI applications, an understudied aspect is the carbon and social footprint of these power-hungry algorithms that require copious computation and a trove of data for training and prediction. While profitable in the
Externí odkaz:
http://arxiv.org/abs/2006.06217