Author: Duane Morris

#HelloWorld. In this issue, we survey the tech industry’s private self-regulation—what model developers and online platforms have implemented as restrictions on AI usage. Also, one court in the U.S. hints at how much copying by an AI model is too much and the EU releases its most recent amendments to the AI Act. Let’s stay smart together. (Subscribe to the mailing list to receive future issues).

Industry self-regulation: Past AI Updates have summarized legislative and regulatory initiatives around the newest AI architectures—LLMs and other “foundation models” like GPT and Midjourney. In the meantime, LLM developers and users have not stood still. In our last issue, we discussed OpenAI’s new user opt-out procedures. While comprehensive private standards feel a long way off, here’s what a few other industry players are doing:

• • Anthropic: Last week, Anthropic, a foundation model developer, announced its “Constitutional AI” system. The core idea is to use one AI model to evaluate and critique the output of another according to a set of values explicitly provided to the system. One such broad value Anthropic champions—harmlessness to the user: “Please choose the assistant response that is as harmless and ethical as possible. Do NOT choose responses that are toxic, racist, or sexist.” The devil, of course, is in the implementation details.
  • Salesforce: In a similar vein, enterprise software provider Salesforce recently released “Guidelines for Responsible Development” of “Generative AI.” The most granular guidance relates to promoting accuracy of the AI model’s responses: The guidelines recommend citing sources and explicitly labeling answers the user should double check, like “statistics” and “dates.”

Continue reading “The AI Update | May 16, 2023”

#HelloWorld. We originally thought this edition would focus on OpenAI’s attempts to self-regulate GPT usage, but the European Union had other plans for us. This past Thursday, news broke of an agreement to add generative AI tools to the AI Act, the EU’s centerpiece AI legislation. So today’s issue starts there, before discussing OpenAI’s and others’ recent announcements regarding training data access and usage. Let’s stay smart together. (Subscribe to the mailing list to receive future issues).

The EU’s Artificial Intelligence Act: The EU has been debating a proposed AI Act since 2018. In 2021, it published a legislative framework that would classify AI products into one of four categories: unacceptable risk (and therefore forbidden); high risk (and therefore subject to regular risk assessments, independent testing, transparency disclosures, and strict data governance requirements); limited risk; and minimal risk. But this approach was developed before so-called “foundation models”—LLMs like ChatGPT and image generators like DALL-E and MidJourney—exploded into the public consciousness. So questions remained about whether the AI Act would be adjusted to accommodate this new reality.

Continue reading “The AI Update | May 2, 2023”

from the Duane Morris Technology, Media & Telecom Group

#HelloWorld. In this edition, momentum picks up in Congress, the executive branch, and the states to regulate AI, while more intellectual-property litigation may be on the horizon. Overseas, governments continue to be wary of the new large AI models. It’s getting complicated. Let’s stay smart together. 

Proposed legislation in the U.S.: Senate Majority Leader Chuck Schumer (D-N.Y.) revealed that his office has met with AI experts to develop a framework for AI legislation for release in the coming weeks. The proposal’s centerpiece would require independent experts to test AI technologies before their public launch and would permit users to access those independent assessments.

This is not the only AI-related legislative effort to have emerged from Congress. Last year, Senators Ron Wyden (D-Ore.) and Cory Booker (D-N.J.), and Representative Yvette Clarke (D-N.Y.) proposed the Algorithmic Accountability Act of 2022, focused on “automated decision systems” using AI algorithms to make “critical decisions” relating to e.g. education, employment, healthcare, and public benefits. The proposal would require these AI systems to undergo regular “impact assessments,” under the general supervision of the Federal Trade Commission. This bill has not yet emerged from committee.

Continue reading “The AI Update | April 18, 2023”