The leaders of the ChatGPT developer OpenAI have called for the regulation of “superintelligent” AIs, arguing that an equivalent to the International Atomic Energy Agency is needed to guard against the “existential risk” posed by the technology. What should regulators around the world do to control the expansion of AI technology while still encouraging innovation? Charles Pellegrin asks Dr Tim Scarfe, Innovation Chief Technology Officer of British start-up XRAI Glass, which uses generative AI in a mobile app and augmented reality smart glasses to help deaf or hard-of-hearing people transcribe conversations. 

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Artificial Intelligence (AI) is changing the way we live, work and communicate. The technology has the potential to transform our world in ways we may never have imagined. However, it also poses risks to users, such as privacy breaches, discrimination and biased outcomes. As AI becomes more prevalent, the need to regulate it has become ever more pressing. But how can we protect users without stifling innovation?

Regulation is crucial to ensure that AI operates ethically and responsibly. However, overregulation can also impede innovation. It is important to find a balance that encourages the development of AI while protecting users from harm. Here are some ways we can regulate AI without stifling innovation.

1. Foster transparency and accountability

One of the biggest challenges facing AI is the lack of transparency and accountability. AI systems are often black boxes, making it difficult to understand how they arrive at their decisions. To regulate AI, transparency and accountability must become a key priority. The developers of AI systems must be transparent about how their systems work and how they make decisions.

2. Protect user privacy

Privacy is a major concern when it comes to AI. Algorithms that are designed to profile individuals or make decisions based on personal data without consent pose a significant threat to privacy. To protect users, regulations should require that AI systems are designed with privacy in mind and that users have control over their data.

3. Address Bias and discrimination

AI can perpetuate biases and reinforce discrimination if it is not programmed to be inclusive and unbiased. Regulations should require companies to test and evaluate their AI systems to ensure they are free of biases and discrimination.

4. Foster collaboration

Regulation should not be seen as a barrier to innovation. Instead, it can be an opportunity to foster collaboration between industry, government and civil society. Collaboration can help to create informed regulations that strike a balance between encouraging innovation and protecting users.

5. Supporting innovation

For regulation to be effective, it must be forward-thinking. This means actively supporting innovation that solves real world problems and creates value for users. Regulations should encourage the development of AI that enhances human experiences and addresses societal challenges.

In conclusion, regulating AI is essential to protect users from harm and ensure that AI operates responsibly. However, regulation should not stifle innovation. Instead, it should strike a balance between encouraging innovation and protecting users. To achieve this, there must be collaboration between industry, government and civil society, and regulations must be forward-thinking, supporting innovation that enhances human experiences and addresses societal challenges.