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Unpacking Liability When AI Makes A Faulty Decision

AI tools are being widely used by industries and organisations worldwide. But what happens when such a tool makes a faulty decision?

4 min readBy Megha Kumar
Briefing details
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Law360
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Updated
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4 min read
Author
Megha Kumar

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Unpacking Liability When AI Makes A Faulty Decision
Cover image for Unpacking Liability When AI Makes A Faulty Decision

Executive summary

Board briefing at a glance
Distilled for CISO, CTO, and board audiences.

Key takeaways

  • The risk of algorithmic harm will rise, making courts increasingly important for consumers and AI vendors.

Business impact

To date, no AI model has been considered to have "legal personality," which means that liability for an AI-related activity will generally lie with the operator or user of the technology.

Recommendation

Issues such as data protection, intellectual property and algorithmic accountability must top AI governance agendas.

M

Megha Kumar

CEO

Dr Megha Kumar is a reputed domain expert on geopolitics, AI and digital regulation.

LinkedIn10 published articles

Artificial intelligence is currently being widely adopted across various industries. There is no doubt this technology will prove transformational: It promises to drive economic efficiencies, democratize access to knowledge, improve security and create new pathways to ecological sustainability.

However, the same technology can trigger negative disruptions in labour and consumer markets, the information ecosystem, and the security domain, and could also exacerbate the climate crisis.

 As AI systems become more autonomous and influential in decision-making, concerns about AI-related harms and problematic decisions are growing.

...

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[Photo by Steve A Johnson on Unsplash]

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