Government representatives, leading companies in the field of artificial intelligence and leading experts will meet on November 1 and 2 in the emblematic Bletchley Park. The central purpose of this summit is to comprehensively and safely address the potential of AI technology.
On November 1 and 2, 2023, a major event will take place in the UK on artificial intelligence with world leaders, led by Prime Minister Rishi Sunak and Greg Clark, chairman of the committee and Conservative MP.
At the center of this meeting is the following theme: The influence of AI and its enormous potential has generated an urgent debate about the need for government regulation.
This will take place at Bletchley Park, the historic site that played a crucial role in technological development during World War II, where the likes of Alan Turing deciphered Nazi messages.
However, this is not the only topic that will be widely discussed globally. Members of the Science, Innovation and Technology Committee stress the need to focus on other aspects such as existential threat, bias, privacy and other key challenges. These are the 12 challenges that will be discussed at the November event.
“The UK has long been home to transformative technologies of the future, so there is no better place to host the first global summit on AI security than Bletchley Park this November,” said British Prime Minister Rishi Sunak.
The 12 great challenges posed by artificial intelligence
1. Existential threat: One of the main concerns lies in the possibility of AI becoming an existential threat to human life.
- Regulation should prioritize national security and establish safeguards to prevent any harmful or dangerous use of technology.
2. Bias and prejudice: AI can perpetuate or even introduce new biases and prejudices in society.
- The need to address this issue is crucial to ensure that AI algorithms and systems are impartial and fair.
3. Protection of privacy: The use of sensitive information to train AI models raises privacy and data security issues.
- Regulation must address how this sensitive data is handled and protected to avoid major problems.
4. Liability for misrepresentation: Chatbots, such as ChatGPT, have the ability to generate misleading or misrepresented content.
- Addressing liability in AI content generation is essential to prevent misinformation and protect the integrity of information.
5. Data management and scalability: The need for large amounts of data to train advanced AI systems presents problems in terms of data collection, storage, and management.
- In this case, the regulation must guarantee ethical practices in the use of data and its secure storage.
6. Computing power and sustainability: AI development requires significant computing power, which raises questions about sustainability and energy consumption.
- Regulation could explore ways to optimize energy efficiency in AI development.
7. Transparency and explainability: The lack of transparency in the results and the inner workings of AI models is a serious problem that affects public confidence in the technology.
- AI systems must be ensured to be explainable and understandable.
8. Copyright Protection: Use of existing content by generative models may raise intellectual property and copyright issues.
- Regulation must find a balance between the creative use of AI and the protection of original rights.
9. Responsibility in the use: the policy should clearly state who is responsible in case the AI tools cause harm.
- This can involve developers, vendors, and other players in the AI ecosystem.
10. Impact on employment: AI adoption can have a significant impact on existing jobs.
- Politicians need to consider how to mitigate potential negative effects and encourage retraining.
11. Openness and transparency of code: the availability of the underlying code in AI models can promote more trustworthy regulation, as well as innovation and the development of ethical standards.
- Fighting for ethical artificial intelligence should be a priority for everyone.
12. International coordination: Since AI does not recognize borders, international cooperation is essential to establish effective and consistent regulations throughout the world.
The planned summit in the UK could be an important step towards global coordination in AI regulation. It is expected that proposals for legislation will be presented with the aim of harnessing the potential of this technology in a safe and responsible manner for the benefit of current and future generations.