Tag: AI liability
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In LLM Providers We Trust…? [Conclusion of the Parsing the Blame for AI series]
AI disrupts traditional liability frameworks, making strict product liability ill-suited and negligence hard to establish. Data privacy laws are outdated and ineffective against AI’s pervasive data collection, while algorithmic discrimination in hiring and services introduces bias risks. Regulatory actions, like FTC oversight, remain limited, leaving significant gaps in accountability and relying heavily on future legislative… Read more
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Oops, AI did it again [Part 4 of the Parsing the Blame for AI series]
Generative AI complicates liability laws as it autonomously produces harmful or inaccurate outputs. Traditional doctrines like strict liability often fail, while negligence claims hinge on vague “reasonable care” standards. Cases like Walters v. OpenAI highlight challenges in addressing AI’s unpredictable harms. Courts must adapt laws to balance accountability and innovation, especially as AI’s autonomy increases. Read more
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Software and product liability law [Part 1 of the Parsing the Blame for AI series]
Explore the complexities of AI liability in the evolving legal landscape. From product liability to on-presmises software to software-as-a-service (SaaS), uncover how laws for tangible goods differ from those governing intangible services like AI. Delve into key cases, challenges, and the implications for accountability in our interconnected AI age. Read more