If you’re leading a knowledge work[1] organization and considering introducing generative artificial intelligence into your workflow, it likely would be helpful to know how its use may impact the day-to-day aspects of your team’s work, and the potential risks involved.
A new White House national security memo (NSM) builds on last year’s Executive Order on AI and cal
Artificial intelligence (AI) is already well integrated into the American workforce; in 2022, 19% of American workers were in jobs identified as most exposed to AI, compared to 23% in the least exposed jobs, according to a study by Pew Research. Jobs identified as most exposed are those in which the most critical responsibilities can either be replaced or assisted by AI.
The Biden Administration issued an executive order earlier this week that provides guidance on the safe, secure, and trustworthy development and use of Artificial Intelligence (AI) in the U.S. The EO includes guidance for agencies to work to provide new opportunities for small businesses and entrepreneurs in AI and other directives.
In the absence of cohesive federal policies or regulations involving the growing development and use of artificial intelligence (AI), states’ governors and lawmakers are undertaking studies and crafting legislation that seeks to balance governance and implementation of this evolving technology. The studies and legislation are intended to protect constituents from AI’s possible harms without hindering potential uses or contributions of AI to government services or medical, science, business, and educational advancements.
A memo sent out last week by the Office of Management and Budget and the Office of Science and Technology Policy outlines this year’s R&D priorities. Federal science agencies will use this memo to design their budget requests for the fiscal year 2025.
Representatives from leading AI companies (Amazon, Anthropic, Google, Inflection, Meta, Microsoft and OpenAI) gathered at the White House on July 21 for the announcement of their voluntary
Last month, NIH came out with a policy statement that prohibits using generative AI to analyze or critique NIH grant applications and contract proposals.
The National Science Foundation (NSF) is expanding a network of research centers across the country to translate university-based R&D into new, and hopefully, better advanced materials. In late June, NSF announced the distribution of $162 million to support the creation of nine more Materials Research Science & Engineering Centers (MRSECs), bringing the total number of centers to twenty. Each of the new centers will receive $18 million over six years.