Regulation is key to responsible AI, but what might this look like?
Generative AI – including chatbots (such as ChatGPT and Bard) and image generators (such as DALL-E and Stable Diffusion) – are a hot topic that has sparked many conversations about the benefits and risks of Artificial Intelligence (AI) tools in society.
AI systems increasingly impact our lives, they are transforming the way work is done and how services are delivered. AI can enhance efficiency, effectiveness, personalisation, and reduce costs. However, people also have raised concerns such as job displacement, bias, privacy, and misuse, which have been fuelled by high profile cases of AI use that were biased, discriminatory, manipulative, unlawful or violated human rights. One of the reasons these risks may be heightened is insufficient regulation.
But how much do people trust in AI-enabled systems, and what are their expectations with respect to regulation and oversight? This is important to understand because in order to fully realise the benefits of AI, people need to be confident that AI systems are developed, used, and governed in a responsible and trustworthy manner.
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Trust in artificial intelligence: Australian insights
Human rights and technology: final report
Proposal for a Regulation laying down harmonised rules on artificial intelligence