UK AI regulation: Government Report Highlights 12 Challenges with AI

The 12 challenges highlighted in the report include:

1. Bias. AI can introduce or perpetuate biases that society may find unacceptable.
2. Privacy. AI can allow individuals to be identified and their personal data to be misused.
3. Misrepresentation. AI can generate material that deliberately misrepresents someone’s character, behaviour or opinions.
4. Access to data. AI requires large datasets which are held by few organisations, raising competition concerns.
5. Access to compute. AI requires significant computing power, which is limited to a few organisations, again raising competition concerns.
6. Black box. AI cannot explain why certain results are produced, which raises concerns that it is inexplicable and its process is not transparent. 
7. Open-source. Views differ on whether the software code used to make AI should be publicly available (open-source). 
8. Intellectual property and copyright. Use by AI solutions of proprietary materials must protect the rights holder.
9. Liability. Government policy should consider whether the AI developers and providers are liable should the AI cause harm.
10. Employment. Government policy should manage the disruption caused to the employment market by AI. 
11. International coordination. AI is a global technology, and developing governance frameworks to regulate its uses must be an international undertaking.
12. Existential. If AI presents a threat to human life, governance should afford protection for national security.

The UK is set to host the first global AI summit this autumn, where key countries, leading Tech companies and researchers shall meet to agree on the collective measures required to mitigate the risks arising from AI technology. The report recommends that the 12 challenges identified form the basis of such risk analysis conducted at the summit.