Browse AI risks

13 entries

1. 06.03.00 · Risk Category

   Discrimination

   "When AI is not carefully designed, it can discriminate against certain groups."

   From A framework for ethical Ai at the United Nations (Hogenhout2021)

   Domain 1 1.1 AI Unintentional Post-deployment

2. 06.04.00 · Risk Category

   Bias

   "The AI will only be as good as the data it is trained with. If the data contains bias (and much data does), then the AI will manifest that bias, too."

   From A framework for ethical Ai at the United Nations (Hogenhout2021)

   Domain 1 1.1 AI Unintentional Pre-deployment

3. 06.02.00 · Risk Category

   Loss of privacy

   "AI offers the temptation to abuse someone's personal data, for instance to build a profile of them to target advertisements more effectively."

   From A framework for ethical Ai at the United Nations (Hogenhout2021)

   Domain 2 2.1 Human Intentional Post-deployment

4. 06.05.00 · Risk Category

   Erosion of Society

   "With online news feeds, both on websites and social media platforms, the news is now highly personalized for us. We risk losing a shared sense of reality, a basic solidarity."

   From A framework for ethical Ai at the United Nations (Hogenhout2021)

   Domain 3 3.2 AI Unintentional Post-deployment

5. 06.11.00 · Risk Category

   Malicious use of AI

   "Just as AI can be used in many different fields, it is unfortunately also helpful in perpetrating digital crimes. AI-supported malware and hacking are already a reality."

   From A framework for ethical Ai at the United Nations (Hogenhout2021)

   Domain 4 4.0 Human Intentional Post-deployment

6. 06.09.00 · Risk Category

   Manipulation

   "The 2016 scandal involving Cambridge Analytica is the most infamous example where people's data was crawled from Facebook and analytics were then provided to target these people with manipulative content for political purposes.While it may not have been AI per se, it is based on similar data and it is easy to see how AI would make this more effective"

   From A framework for ethical Ai at the United Nations (Hogenhout2021)

   Domain 4 4.1 Human Intentional Post-deployment

7. 06.10.00 · Risk Category

   Lethal Autonomous Weapons (LAW)

   "What is debated as an ethical issue is the use of LAW — AI-driven weapons that fully autonomously take actions that intentionally kill humans."

   From A framework for ethical Ai at the United Nations (Hogenhout2021)

   Domain 4 4.2 AI Intentional Post-deployment

8. 06.07.00 · Risk Category

   Deception

   "AI has become very good at creating fake content. From text to photos, audio and video. The name "Deep Fake" refers to content that is fake at such a level of complexity that our mind rules out the possibility that it is fake."

   From A framework for ethical Ai at the United Nations (Hogenhout2021)

   Domain 4 4.3 AI Other Post-deployment

9. 06.12.00 · Risk Category

   Loss of Autonomy

   "Delegating decisions to an AI, especially an AI that is not transparent and not contestable, may leave people feeling helpless, subjected to the decision power of a machine."

   From A framework for ethical Ai at the United Nations (Hogenhout2021)

   Domain 5 5.2 Human Intentional Post-deployment

10. 06.13.00 · Risk Category

    Exclusion

    "The best AI techniques requires a large amount resources: data, computational power and human AI experts. There is a risk that AI will end up in the hands of a few players, and most will lose out on its benefits."

    From A framework for ethical Ai at the United Nations (Hogenhout2021)

    Domain 6 6.1 Human Intentional Post-deployment

11. 06.08.00 · Risk Category

    Unintended consequences

    "Sometimes an AI finds ways to achieve its given goals in ways that are completely different from what its creators had in mind."

    From A framework for ethical Ai at the United Nations (Hogenhout2021)

    Domain 7 7.1 AI Intentional Other

12. 06.01.00 · Risk Category

    Incompetence

    "This means the AI simply failing in its job. The consequences can vary from unintentional death (a car crash) to an unjust rejection of a loan or job application."

    From A framework for ethical Ai at the United Nations (Hogenhout2021)

    Domain 7 7.3 AI Unintentional Post-deployment

13. 06.06.00 · Risk Category

    Lack of transparency

    "The idea of a "black box" making decisions without any explanation, without offering insight in the process, has a couple of disadvantages: it may fail to gain the trust of its users and it may fail to meet regulatory standards such as the ability to audit."

    From A framework for ethical Ai at the United Nations (Hogenhout2021)

    Domain 7 7.4 AI Unintentional Other

Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.