Ethics and Social Impacts of AI
Ethics and Social Impacts of AI is a research topic within Safety Research. Science Explorer counts 28k research works in it since 1960. 25.5% of them reached the world's top 10% most cited for their field and year.
This cluster of papers explores the ethical implications of artificial intelligence, focusing on fairness, algorithmic bias, and accountability in the context of big data, machine learning, and surveillance. It delves into topics such as the societal impact of AI, discrimination in algorithms, transparency in decision-making processes, and the challenges of ensuring fairness and ethics in AI applications.
- Ethics
- Fairness
- Algorithmic Bias
- Big Data
- Machine Learning
- Artificial Intelligence
- Surveillance
- Transparency
- Discrimination
- Accountability
- Research works
- 28k fractional, since 1960
- In the world top 10%
- 7.2k per year above
- Top-10% rate
- 25.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +376% the tick is no change
Which countries lead Ethics and Social Impacts of AI research?
By volume, the United States and the United Kingdom publish the most (3.4k and 1.1k works in 2022–2025).
By volume, 2022–2025
- 1 United States 3.4k works
- 2 United Kingdom 1.1k works
- 3 India 972 works
- 4 Germany 910 works
- 5 China 812 works
- 6 Italy 483 works
- 7 Australia 458 works
- 8 Canada 450 works
- 9 Netherlands 432 works
- 10 Brazil 308 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Ethics and Social Impacts of AI research?
By volume in 2022–2025, Design Intelligence (United States) publishes the most Ethics and Social Impacts of AI research, followed by University of Oxford and Delft University of Technology.
By volume, 2022–2025
- 1 Design Intelligence (United States)United States 78 works
- 2 University of OxfordUnited Kingdom 73 works
- 3 Delft University of TechnologyNetherlands 66 works
- 4 Carnegie Mellon UniversityUnited States 63 works
- 5 University of TorontoCanada 48 works
- 6 University of WashingtonUnited States 45 works
- 7 Stanford UniversityUnited States 43 works
- 8 University College LondonUnited Kingdom 43 works
- 9 University of AmsterdamNetherlands 43 works
- 10 University of CambridgeUnited Kingdom 42 works
Who are the leading researchers in Ethics and Social Impacts of AI?
The most-cited researchers publishing on Ethics and Social Impacts of AI include Yoshua Bengio, Martin McKee and Bernhard Schölkopf.
- 1 Yoshua Bengio Canada 17k citations
- 2 Martin McKee United Kingdom 5.4k citations
- 3 Bernhard Schölkopf Germany 4.7k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Ethics and Social Impacts of AI research done?
The largest centres of Ethics and Social Impacts of AI research in 2022–2025 are London (United Kingdom), Beijing (China), New York (United States) and Washington D.C. (United States). Among places with at least 20 works in it, it is an unusually large share of all research in Norman.
Largest cities, 2022–2025
- 1 London United Kingdom 291 works
- 2 Beijing China 199 works
- 3 New York United States 160 works
- 4 Washington D.C. United States 123 works
- 5 Sydney Australia 122 works
- 6 Munich Germany 110 works
- 7 Toronto Canada 105 works
- 8 Melbourne Australia 100 works
- 9 Singapore Singapore 91 works
- 10 Shanghai China 90 works
Where it is the local speciality
- NormanUS · 84.0 works18×
Location quotient: how much more of its research is in Ethics and Social Impacts of AI than the world average.
Where is the best place to study Ethics and Social Impacts of AI?
Among universities, judged by research, Carnegie Mellon University, Delft University of Technology and University of Amsterdam score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Carnegie Mellon UniversityUnited States | 85.0 | 49.6% | 11.1× | 63 | +361.0% |
| 2 | Delft University of TechnologyNetherlands | 74.5 | 45.5% | 7.1× | 66 | +137.1% |
| 3 | University of AmsterdamNetherlands | 73.9 | 50.8% | 5.9× | 42 | +328.3% |
| 4 | University of OxfordUnited Kingdom | 69.6 | 41.5% | 4.2× | 73 | +618.2% |
| 5 | Zayed UniversityUnited Arab Emirates | 68.5 | 56.1% | 12.0× | 13 | — |
| 6 | Tilburg UniversityNetherlands | 67.0 | 35.3% | 9.1× | 21 | +184.8% |
| 7 | Copenhagen Business SchoolDenmark | 66.9 | 27.2% | 10.9× | 25 | +786.1% |
| 8 | Utrecht UniversityNetherlands | 64.8 | 51.8% | 5.8× | 42 | — |
| 9 | Al Ain UniversityUnited Arab Emirates | 64.3 | 49.6% | 10.3× | 10 | — |
| 10 | University of CambridgeUnited Kingdom | 60.8 | 40.1% | 2.8× | 42 | +273.8% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Ethics and Social Impacts of AI research growing?
Output in 2018–2022 was 376% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Ethics and Social Impacts of AI.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.