Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Edward W. Felten"'
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Strategic Management Journal. 42:2195-2217
We create and validate a new measure of an occupation’s exposure to AI that we call the AI Occupational Exposure (AIOE). We use the AIOE to construct a measure of AI exposure at the industry level, which we call the AI Industry Exposure (AIIE) and
Publikováno v:
AEA Papers and Proceedings. 108:54-57
Prior episodes of automation have led to economic growth and also to many changes in the workplace. We expect the same from artificial intelligence (AI). The link between AI and labor is complex, however. To assist researcher and policymakers, we pro
Autor:
Gunes Acar, Edward W. Felten, Arvind Narayanan, Ben Burgess, Nick Feamster, Danny Yuxing Huang, Hooman Mohajeri Moghaddam, Arunesh Mathur, Prateek Mittal
Publikováno v:
CCS
The number of Internet-connected TV devices has grown significantly in recent years, especially Over-the-Top ("OTT") streaming devices, such as Roku TV and Amazon Fire TV. OTT devices offer an alternative to multi-channel television subscription serv
Publikováno v:
SSRN Electronic Journal.
Although artificial intelligence (AI) promises to spur economic growth, there is widespread concern that it may replace human labor. We investigate the link between AI and labor by creating a new measure that we call the AI Occupational Impact (AIOI)
The verification of arms-control and disarmament agreements requires states to provide declarations, including information on sensitive military sites and assets. There are important cases, however, where negotiations of these agreements are impeded
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::823dfa624cbaa01be71cf3685b33ad22
http://arxiv.org/abs/1809.04170
http://arxiv.org/abs/1809.04170
Publikováno v:
Journal of Cybersecurity. 4
Publikováno v:
Academy of Management Proceedings. 2019:15784
While artificial intelligence (AI) promises to spur economic growth, there is concern that this may come at the expense of human labor. We utilize data on advances in AI together with occupational ...
Publikováno v:
Data Protection on the Move ISBN: 9789401773751
Once released to the public, data cannot be taken back. As time passes, data analytic techniques improve and additional datasets become public that can reveal information about the original data. It follows that released data will get increasingly vu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbd155be6b93e144448a72a1cd1445b2
https://doi.org/10.1007/978-94-017-7376-8_13
https://doi.org/10.1007/978-94-017-7376-8_13