Tag: Responsible AI
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In LLM Providers We Trust…? [Conclusion of the Parsing the Blame for AI series]
![In LLM Providers We Trust…? [Conclusion of the Parsing the Blame for AI series]](https://koailaw.com/wp-content/uploads/2025/01/DALL·E-2024-12-09-03.50.14-A-surreal-illustration-of-an-AI-fox-represented-by-a-sleek-robotic-design-with-glowing-blue-eyes-standing-watch-in-front-of-a-traditional-henhouse.-.webp)
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 Data privacy laws are outdated and ineffective against AI’s pervasive data collection, while algorithmic discrimination in hiring and services introduces bias risks.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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Regulating the regulators: Ensuring patent examiners use AI “responsibly”
The patent examination process—whereby the U.S. Patent and Trademark Office reviews patent applications and issues or grants those that meet the requirements for patentability—is tailor-made for the implementation of AI. But what are the risks to the quality and fairness of the patent examination process when the USPTO implements AI? And what policies and procedures… Read more
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Your guide to responsible AI contracting. Part 1: Don’t be scum.
I. What is “responsible AI”? Most people would agree we should implement AI responsibly and appropriately balance the interests of each stakeholder and society. But AI may be the most disruptive innovation in history, promising to increase overall productivity and displace workers to an unprecedented degree. Figuring out what the proper balance is not easy.… Read more