What’s Wrong with Automated Influence
Bibliographic Data
| ID | 21408985 |
|---|---|
| Authors | Carl Benn (0000-0001-7072-2701, Australian National University, corresponding author), Seth Lazar (0000-0001-5378-6033, Australian National University) |
| Year | 2022 |
| Volume | 52 |
| Issue | 1 |
| Pages | 125-148 |
| Publication date | 2022-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Canadian Journal of Philosophy (JOURNAL) |
| Journal identifiers | ISSN: 0045-5091 • E-ISSN: 1911-0820 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/can.2021.23 |
| OpenAlex | W3204038553 |
| Language | EN |
| Citations received | 21 |
| References cited | 49 |
Automated Influence is the use of Artificial Intelligence (AI) to collect, integrate, and analyse people’s data in order to deliver targeted interventions that shape their behaviour. We consider three central objections against Automated Influence, focusing on privacy, exploitation, and manipulation, showing in each case how a structural version of that objection has more purchase than its interactional counterpart. By rejecting the interactional focus of “AI Ethics” in favour of a more structural, political philosophy of AI, we show that the real problem with Automated Influence is the crisis of legitimacy that it precipitates
Business · Epistemology · Focus (optics) · Legitimacy · Order (exchange) · Political science · Politics · Ethics and Social Impacts of AI · Law · Misinformation and Its Impacts · Philosophy · Psychology · Psychology of Moral and Emotional Judgment
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| Unique citing works | 21 |
|---|---|
| Citations per year | 5,25 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 19 |