| 000 -LEADER |
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| fixed length control field |
01237pab a2200169 454500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
180718b1999 xxu||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Barth, Thomas J. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Artificial intelligence and administrative discretion: implications for public administration |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Date of publication, distribution, etc. |
1999 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
p.332-51 |
| 362 ## - DATES OF PUBLICATION AND/OR SEQUENTIAL DESIGNATION |
|---|
| Dates of publication and/or sequential designation |
Dec |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Advances in the field of artificial intelligence (AI) are leading to a new level of computing in which systems will have the capability to act as autonomous agents and learn to learn independently, assess their environment, and think with values, motives, and emotions. Reflection on the dialogue in the AI literature and implications for public administration raises issues concerning a number of classic dilemmas relevant to administrative discretion, including responsiveness, judgement, and accountability. After a brief overview of the AI field to provide context, this article addresses each of these themes in turn and concludes with a summary discussion on the potential benefits and dangers of AI for the field of public administration. - Reproduced |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Public administration |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Arnold, Eddy |
| 773 ## - HOST ITEM ENTRY |
|---|
| Main entry heading |
American Review of Public Administration |
| 909 ## - |
|---|
| -- |
43527 |
