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Artificial intelligence is developing in leaps and bounds as new systems harness the capabilities of supercomputers and dedicated semiconductors. But the ongoing acceleration in AI performance and utility raises a number of challenges for policymakers grappling with how to ensure their countries remain competitive and how to regulate this dynamic and far-reaching technology.
Artificial intelligence is developing in leaps and bounds as new systems harness the capabilities of supercomputers and dedicated semiconductors. But the ongoing acceleration in AI performance and utility raises a number of challenges for policymakers grappling with how to ensure their countries remain competitive and how to regulate this dynamic and far-reaching technology.
Amid rising geopolitical tensions and intensifying polarisation, building a global consensus around the use of artificial intelligence (AI) is likely to be tough. Yet experts at a recent Science|Business Data Rules workshop were cautiously optimistic that the necessary political will exists.
Amid rising geopolitical tensions and intensifying polarisation, building a global consensus around the use of artificial intelligence (AI) is likely to be tough. Yet experts at a recent Science|Business Data Rules workshop were cautiously optimistic that the necessary political will exists.
One of the greatest strengths of artificial intelligence (AI) – its ability to learn and adapt over time – could also be its Achilles’ heel. When a product or service can learn and evolve through experience and interactions with human beings, it can be hard to pinpoint who is responsible when something goes wrong. How to allow for this dynamism and, at the same time, build trust in artificial intelligence was one of the key topics of debate in a Science|Business webinar entitled: AI: Who is Liable? - the latest in a series produced by Science|Business Data Rules group. “You see assoc...