Andrew Gray IV

Dec 10, 2024 | jdsupra.com | Michele L. Buenafe |Andrew Gray IV |Jacob Harper

The Artificial Intelligence in Healthcare Services Bill, signed into law by Governor Gavin Newsom, imposes new requirements on California healthcare providers that use generative artificial intelligence tools to generate patient communications. This law introduces new guardrails for California healthcare providers that deploy GenAI to reach their patients and is part of a broader effort by California to regulate the rapidly growing generative artificial intelligence (GenAI) sector.

Aug 13, 2024 | jdsupra.com | Jane Accomando |Neeraj K. Arora |Andrew Gray IV

Artificial intelligence (AI) not only provides new technological advantages to the energy industry, but also the industry is itself responsible for providing the vast (and growing) amount of energy consumption driven by the computers powering much of AI. AI technologies, particularly those involving machine learning and large language models, are extremely energy intensive. For instance, a single generative AI query requires nearly 10 times more electricity than a traditional internet search.

Aug 2, 2024 | jdsupra.com | Dion Bregman |Ezra D. Church |Andrew Gray IV

August 2, 2024 Dion Bregman, Ezra Church, Andrew Gray IV, Kristin Hadgis, Elizabeth Herrington, Gregory Parks, Mike Pierides, Christina Renner, Vishnu Shankar, Doneld Shelkey, Izzet Sinan, Dr. Axel Spies Morgan Lewis + Follow x Following x Following - Unfollow Contact To embed, copy and paste the code into your website or blog: The European Union’s new AI Act (the Act) went into efect on 1 August 2024.

Mar 9, 2023 | jdsupra.com | Michele L. Buenafe |Andrew Gray IV |Jacob Harper

In recent years, the digitalization of the healthcare industry has been accelerated to meet demands for smarter devices and robotics, wearable technology, AI-based data analysis, and enhanced platforms and simulations, among others. This digitization has driven an increased interest in incorporating artificial intelligence (AI) and machine learning (ML) technologies into medical devices.

Feb 9, 2023 | jdsupra.com | Andrew Gray IV

The National Institute for Standards and Technology (NIST) recently released its Artificial Intelligence Risk Management Framework, a flexible set of guidelines that assists artificial intelligence actors, such as organizations and individuals, address the unique risks posed by artificial intelligence. The framework of the Artificial Intelligence Risk Management Framework (AI RMF 1.0) is broken into two parts.