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Epiq

Why Confidence Scoring With LLMs Is Dangerous

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When it comes to confidence assessments from LLMs, scoring predictions is essential. The most important thing is not the scores themselves, but the resulting ranking these scores produce. Once our model (TAR 1.0, TAR 2.0,...more

EDRM - Electronic Discovery Reference Model

The Human Edge: How AI Can Assist But Never Replace

The rise of artificial intelligence has evoked both awe and apprehension. AI’s capabilities are undeniably astonishing. It can converse and respond to us like a human, answer questions—often with impressive accuracy—write...more

Benesch

Exploring First Amendment and Editorial Judgment Protections for Large Language Models

Benesch on

Large language model (LLM) companies are at the forefront of artificial intelligence technology. They create tools that generate and provide information through sophisticated algorithms....more

Epiq

The Importance of Using AI Effectively and Transparently

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To answer this question, organizations need to ponder when AI will be most effective. Beneficial features to look for when investing in new technology are whether it will add business value, increase efficiency, enhance...more

EDRM - Electronic Discovery Reference Model

Robophobia: Great New Law Review Article – Part 3

This article is the conclusion to my three-part review of Robophobia by Professor Andrew Woods. Robophobia, 93 U. Colo. L. Rev. 51 (Winter, 2022). See here for Part 1 and Part 2 of my review. This may seem like a long...more

EDRM - Electronic Discovery Reference Model

Robophobia: Great New Law Review Article – Part 2

This article continues my review of Robophobia by Professor Andrew Woods. 'Deciding where to deploy machine decision-makers is one of the most important policy questions of our time. The crucial question is not whether an...more

EDRM - Electronic Discovery Reference Model

Robophobia: Great New Law Review Article – Part 1

This blog is the first part of my review of one of the most interesting law review articles I’ve read in a long time, Robophobia. Woods, Andrew K., Robophobia, 93 U. Colo. L. Rev. 51 (Winter, 2022). Robophobia provides the...more

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