The AI Carbon Footprint and Responsibilities of AI Scientists
Bibliographic Data
| ID | 22133756 |
|---|---|
| Authors | Guglielmo Tamburrini (0000-0001-7118-6541, University of Naples Federico II, corresponding author) |
| Year | 2022 |
| Volume | 7 |
| Issue | 1 |
| Pages | 4 |
| Publication date | 2022-01-05 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Philosophies (JOURNAL) |
| Journal identifiers | ISSN: 2409-9287 • E-ISSN: 2409-9287 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/philosophies7010004 |
| OpenAlex | W4206801982 |
| Language | EN |
| Citations received | 7 |
| References cited | 14 |
This article examines ethical implications of the growing AI carbon footprint, focusing on the fair distribution of prospective responsibilities among groups of involved actors. First, major groups of involved actors are identified, including AI scientists, AI industry, and AI infrastructure providers, from datacenters to electrical energy suppliers. Second, responsibilities of AI scientists concerning climate warming mitigation actions are disentangled from responsibilities of other involved actors. Third, to implement these responsibilities nudging interventions are suggested, leveraging on AI competitive games which would prize research combining better system accuracy with greater computational and energy efficiency. Finally, in addition to the AI carbon footprint, it is argued that another ethical issue with a genuinely global dimension is now emerging in the AI ethics agenda. This issue concerns the threats that AI-powered cyberweapons pose to the digital command, control, and communication infrastructure of nuclear weapons systems
Business · Carbon Footprint · Ecological footprint · Footprint · Greenhouse gas · Political science · Sustainable development · Adversarial Robustness in Machine Learning · Blockchain Technology Applications and Security · Ethics and Social Impacts of AI · Law
Beyond Discrimination
Evaluating Artificial Intelligence Use and Its Psychological Correlates via Months of Web-Browsing Data
AI and its impacts on the planet
Catching up with AI
May AI be sustainable? An outlook on sustainability and technology
AI-Related Risk
Do Artificial Intelligence Investments in the Financial Sector Foster Emission Reduction and SDG 7 Performance
The Ethics of Cybersecurity
A Perfect Moral Storm
Energy and Policy Considerations for Deep Learning in NLP
Coupling levels of abstraction in understanding meaningful human control of autonomous weapons
Toward a Normative Model of Meaningful Human Control over Weapons Systems
Autonomous Weapon Systems and Strategic Stability
| Unique citing works | 7 |
|---|---|
| Citations per year | 2.33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |