AI, Norms, Big Data, and the Law
Bibliographic Data
| ID | 3793132 |
|---|---|
| Authors | Håkan Hydén (0000-0002-1449-7084) |
| Year | 2020 |
| Volume | 7 |
| Issue | 3 |
| Pages | 409-436 |
| Publication date | 2020-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Asian Journal of Law and Society (JOURNAL) |
| Journal identifiers | ISSN: 2052-9015 • E-ISSN: 2052-9023 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/als.2020.36 |
| OpenAlex | W3120090762 |
| Language | EN |
| Citations received | 4 |
| References cited | 34 |
This is an overview article regarding artificial intelligence (AI) and its potential normative implications. Technology has always had inherent normative consequences not least due to AI and the use of algorithms. There is a crucial difference between algorithms in a technical sense and from a social-science perspective. It is a question of different orders of normativity-the first related to the algorithm as a technical instruction and the second to the consequences springing from the first order. I call these last-mentioned normsalgo norms. These are embedded in the technology and determined by the design of the AI. The outcome is an empirical question. AI andalgo normsare moving targets, which call for a novel scientific approach that relates to advanced practice. Law actualizes primarily for preventive reasons in relation to negative aspects of the new technology. No major regulatory scheme for AI exists. In the article, I point out some areas that raise the need for legal regulation. Finally, I comment on three main challenges for the digital development in relation to AI: (1) the energy costs; (2) the singularity point; and (3) the governance problems
Big data · Corporate governance · Data mining · Economics · Epistemology · Management · Normative · Order (exchange · Perspective (graphical · Point (geometry · Political science · Relation (database · Singularity · Sociology · Computer Science · Digital Transformation in Law · Ethics and Social Impacts of AI · Law, AI, and Intellectual Property · Mathematics · Artificial Intelligence · Law · Philosophy
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Energy and Policy Considerations for Deep Learning in NLP
Bias in algorithmic filtering and personalization
The Global Politics of Science and Technology - Vol. 1
Technology and History
Economy and Society
Social Theory and Social Structure
The Trouble with Algorithmic Decisions
| Unique citing works | 4 |
|---|---|
| Citations per year | 1.33 |
| Citation span | 2023 - 2024 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |