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- "Chief AI Officers" and Lobbying For Stricter AI Regulation
"Chief AI Officers" and Lobbying For Stricter AI Regulation
TL;DR
1) Non-profits backed by tech billionaires, like Dustin Moskowitz, continue lobbying Washington to require permits for high-risk systems and to hold developers liable for severe harms.
3) The Department of Veterans Affairs identifies 100 use cases for AI to optimize operations and prevent burnout. 40 use cases are in an "operational phase".
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Key Points:
Nonprofits funded by tech billionaires are lobbying Washington to pass AI safety bills, with a focus on legislation that would hold AI developers liable for harms and require permits for high-risk systems.
The Center for AI Policy and Center for AI Safety, both funded by tech billionaires, have increased their lobbying efforts, with each spending close to $100,000 on lobbying in the last three months of the year.
Their message includes policies like CAIP’s call for legislation that would hold AI developers liable for “severe harms,” require permits to develop “high-risk” systems and empower regulators to “pause AI projects if they identify a clear emergency.”
Examples of organizations include: (1) Future of Life Institute, supported by Skype co-founder, Elon Musk, and Vitalik Buterin, which since 2020 has spent roughly $500,000 to lobby Washington on AI — (2) Open Philanthropy, backed by Dustin Moskowitz, which funds think tanks opposing AI, like funding The RAND Corporation with $15m to play a key role in Biden's executive order on AI.
Key Points:
The role of "chief AI officer" is losing momentum as organizations realize that AI strategy should be everyone's job, not just one executive's responsibility.
Some organizations are finding it difficult to source a CAIO with all the necessary skills, leading to alternative approaches such as AI project teams, ethics committees, and "fractional CAIOs".
The CEO might need to take on the role of CAIO, as it is not scalable to rely solely on one person for AI strategy, and many CAIOs lack the resources and authority to lead a successful transformation.
Fractional CAIOs are becoming a popular middle ground for organizations, CEOs, and top AI talent, as they provide flexibility and the opportunity to work on different types of data and in various industries.
Key Points:
The Department of Veterans Affairs (VA) has identified over 100 AI use cases, with 40 of them already in operational phase, being used in the field to provide better healthcare and faster benefits decisions for veterans.
AI tools such as the REACH-VET model are being used to predict veterans at risk of suicide, impacting treatment decisions and follow-up care.
The VA is focused on "augmented intelligence" use cases of AI that improve the productivity and effectiveness of VA clinicians, while being attentive to risks and benefits.
Examples of use cases are:
use the AI model REACH-VET to predict the veterans who are most at risk of suicide
dictation tools to take notes during medical appointments
use AI to extract information from paper medical records
use natural language processing (NLP) as “customer experience listening,” to comb through feedback and comments submitted by patients
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