The reasons for AI government regulations are quite numerous including misinformation, job losses, and data privacy.
What regulations are already in the works
The EU has taken the lead in AI government regulations.The AI Act, which while passed in the EU Parliament is still under further discussions, states that AI with unacceptable risks, such as social scoring, are banned, while high risk AI will require registration before being allowed on the market. But the initial writing only really covered AI before the explosion of generative AI capable of multitudes of tasks, so there will be a rewrite. The view overall is that AI are generally considered to be high risk, with an extra focus on transparency especially of copyrighted material, and liability. It remains to be seen what the final will cover.
Aside from the above are several other regulations under consideration covering putting the burden of proof on companies rather than users should there be any damage. Making the company’s have to prove that their AI systems are not harmful. And regulation regarding privacy and data safety to make sure that users still have control over what data can be used by AI.
Other countries have taken their own stances on AI government regulations. With the US preferring that the market finds a way to self regulate. Meanwhile China has taken similar steps as the EU to cover the questions of privacy, accuracy and misinformation. Many others are still thinking over what kind of strictness to impose on the technology and we will still have to wait a few years to get a clear picture of where it’s headed. The future of AI government regulation is still in question as we are still learning about this new technology and its impacts. But we can be quite sure that more and more regulations will be coming to ensure safe use of it.
For the future we can expect regulation to cover the following points:
– Ethics, ensuring that AI is not used harmfully or discriminates against users.
– Transparency, providing insight on what the AI’s decisions are based on.
– Data privacy, strengthening control over what kind of data we allow to be incorporated into the learning models for AI.
– Accountability for developers and service providers, to encourage responsible development and use of AI technologies.
– Standards and certification, to ensure safety and quality of the AI tools developed in the same ways other products undergo quality assurance and certification.
If you’re getting involved with AI, it is recommended to closely monitor relevant government agencies, organizations and industry bodies to stay informed about the latest upcoming AI government regulations. Complying with future regulations will become crucial for businesses.