AI, Government and the Future

Welcome to our weekly dive into the exciting world of Artificial Intelligence (AI) and its impact on the U.S. Government!

AI is progressing at an incredible pace, and we're just scratching the surface. With so much information out there, it can be overwhelming to keep up.

We're here to provide you with insightful analysis and a concise summary, delivered to you on a regular basis. Stay informed, stay up-to-date, and join us on this thrilling journey into the future of AI.

Episode 29 Recap: Kevin Surface, Chairman & CTO of Appvance.ai

Kevin Surace, Chairman and CTO of Appvance.ai, joins this episode of AI, Government, and the Future to delve into the impact of AI on various industries, the future of employment, and the challenges of trust in AI systems. He also discussed the potential of generative Artificial Intelligence (GenAI), how to address the technology's risks to ensure safety, and the government's role in certifying trust in AI.

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Spotlight

Trust and Security Are Top Concerns in The Public Sector’s Use of Generative AI 

A recent survey by Amazon Web Services (AWS) reveals that while public sector organizations recognize the importance of adopting GenAI technologies, they remain cautious about their implementation due to concerns around trust, cost, and security. 90% of respondents agree that embracing GenAI is important, but only 28% report its broad integration within their organizations. Key barriers include the high costs of integrating GenAI with legacy systems and the challenge of maintaining public trust, with 83% of participants citing public confidence as a top concern. Data security and privacy are also significant issues, with nearly half of respondents prioritizing these factors. To overcome these challenges, many organizations are seeking external partners to help deploy and manage GenAI, emphasizing the importance of choosing a provider that aligns with their specific needs, including compliance and security requirements. This survey highlights the balancing act that public sector organizations must navigate as they explore the benefits and risks of GenAI adoption.

Read More - nextgov

The Number 

$24 Billion 

Saudi Arabia could see a $24 billion boost in Gross Domestic Product (GDP) by 2030 if it invests in GenAI, according to research by Oliver Wyman and the Saudi Data & AI Authority. GenAI has the potential to enhance productivity and efficiency in sectors such as healthcare, manufacturing, financial services, and government services. However, the workforce will need to be upskilled to utilize AI tools, and concerns about job automation and redundancy are growing. Around 150,000 private sector jobs in Saudi Arabia could be impacted by GenAI advancements by 2030. Saudi Arabia already has a higher adoption rate of GenAI tools compared to the global average and the US. The report suggests that GenAI could contribute $20 trillion to global GDP by 2030 and save 300 billion hours of work per year. 

In-Depth 

NIST Sets Up New Task Force On AI And National Security

The National Institute of Standards and Technology (NIST) has launched the Testing Risks of AI for National Security Taskforce (TRAINS), within its Artificial Intelligence Safety Institute (AISI), to address the security risks posed by AI models. This new task force includes representatives from key federal agencies such as the Department of Defense, Department of Energy, Department of Homeland Security, and the National Institutes of Health. TRAINS will evaluate AI models in areas such as national security, cybersecurity, critical infrastructure, and more, with a focus on ensuring AI innovation is secure, trustworthy, and safe. This initiative aligns with the U.S. government's goal to prioritize AI safety as both an economic and national security concern. This development underscores the importance of strong, coordinated efforts between federal agencies to manage the security implications of AI technologies as they rapidly evolve.

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House AI Task Force Wants To Marry Light Touch Regulations With Sector-Specific Policy

The House AI Task Force, led by Representatives Don Beyer and Jay Obernolte, is advancing bipartisan legislation aimed at shaping the future of AI in the U.S., with a focus on maintaining human oversight in AI deployment and adopting a light-touch regulatory approach. Their efforts center around 14 bills addressing concerns such as disinformation, cybersecurity threats, and transparency in AI training databases, with an emphasis on keeping humans as the final decision-makers in sensitive AI applications. The task force advocates for sector-specific regulation, where agencies with deep industry expertise, like the FDA for medical devices or the NHTSA for autonomous vehicles, would oversee AI use. This strategy contrasts with Europe's more restrictive AI framework, aiming to foster innovation while minimizing regulatory burdens, particularly for small and medium-sized enterprises. These efforts are crucial as the U.S. government seeks to balance the rapid advancement of AI technologies with ethical considerations, national security, and the need to support innovation within the private sector.

Read More - nextgov