Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Morgan, Deborah"'
Autor:
Straub, Vincent J., Hashem, Youmna, Bright, Jonathan, Bhagwanani, Satyam, Morgan, Deborah, Francis, John, Esnaashari, Saba, Margetts, Helen
There is currently considerable excitement within government about the potential of artificial intelligence to improve public service productivity through the automation of complex but repetitive bureaucratic tasks, freeing up the time of skilled sta
Externí odkaz:
http://arxiv.org/abs/2403.14712
Autor:
Bright, Jonathan, Enock, Florence E., Esnaashari, Saba, Francis, John, Hashem, Youmna, Morgan, Deborah
Generative AI has the potential to transform how public services are delivered by enhancing productivity and reducing time spent on bureaucracy. Furthermore, unlike other types of artificial intelligence, it is a technology that has quickly become wi
Externí odkaz:
http://arxiv.org/abs/2401.01291
Autor:
Esnaashari, Saba, Bright, Jonathan, Francis, John, Hashem, Youmna, Straub, Vincent, Morgan, Deborah
Allocation of scarce resources is a recurring challenge for the public sector: something that emerges in areas as diverse as healthcare, disaster recovery, and social welfare. The complexity of these policy domains and the need for meeting multiple a
Externí odkaz:
http://arxiv.org/abs/2310.06475
Autor:
Morgan, Deborah, Hashem, Youmna, Francis, John, Esnaashari, Saba, Straub, Vincent J., Bright, Jonathan
This article explores how the 'rules in use' from Ostrom's Institutional Analysis and Development Framework (IAD) can be developed as a context analysis approach for AI. AI risk assessment frameworks increasingly highlight the need to understand exis
Externí odkaz:
http://arxiv.org/abs/2303.14007
Autor:
Straub, Vincent J., Morgan, Deborah, Hashem, Youmna, Francis, John, Esnaashari, Saba, Bright, Jonathan
Calls for new metrics, technical standards and governance mechanisms to guide the adoption of Artificial Intelligence (AI) in institutions and public administration are now commonplace. Yet, most research and policy efforts aimed at understanding the
Externí odkaz:
http://arxiv.org/abs/2303.10106
Recent advances in artificial intelligence (AI), especially in generative language modelling, hold the promise of transforming government. Given the advanced capabilities of new AI systems, it is critical that these are embedded using standard operat
Externí odkaz:
http://arxiv.org/abs/2210.17218
Autor:
Chemaitelly, Hiam, Akhtar, Naveed, Jerdi, Salman Al, Kamran, Saadat, Joseph, Sujatha, Morgan, Deborah, Uy, Ryan, Abid, Fatma B., Al-Khal, Abdullatif, Bertollini, Roberto, Abou-Samra, Abdul-Badi, Butt, Adeel A., Abu-Raddad, Laith J.
Publikováno v:
In International Journal of Infectious Diseases August 2024 145
Publikováno v:
In Energy Research & Social Science May 2024 111
Publikováno v:
In Government Information Quarterly October 2023 40(4)
Autor:
Watson, Sarah M., McLean, Dianne L., Balcom, Brian J., Birchenough, Silvana N.R., Brand, Alison M., Camprasse, Elodie C.M., Claisse, Jeremy T., Coolen, Joop W.P., Cresswell, Tom, Fokkema, Bert, Gourvenec, Susan, Henry, Lea-Anne, Hewitt, Chad L., Love, Milton S., MacIntosh, Amy E., Marnane, Michael, McKinley, Emma, Micallef, Shannon, Morgan, Deborah, Nicolette, Joseph, Ounanian, Kristen, Patterson, John, Seath, Karen, Selman, Allison G.L., Suthers, Iain M., Todd, Victoria L.G., Tung, Aaron, Macreadie, Peter I.
Publikováno v:
In Science of the Total Environment 20 June 2023 878