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5 Secure Implementation Best Practices for Public Agencies using Generative AI on Amazon Web Services

5 Secure Implementation Best Practices for Public Agencies using Generative AI on Amazon Web Services
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Generative artificial intelligence (AI) is transforming public agencies by optimizing services and offering insights from vast datasets. President Biden’s October 2023 Executive Order focuses on the responsible use of AI in government agencies and outlines a timeline for safe deployment. Meanwhile, implementing generative AI requires strong security measures, data privacy, and human oversight to avoid bias.

In a recent post, SMX experts share best practices used to help a nonprofit agency leverage generative AI tools effectively. These practices include prioritizing data privacy and security, ensuring fairness through human supervision, fostering a culture of innovation, implementing a modern digital foundation, and establishing AI cost controls.

Digital transformation is crucial for successful generative AI adoption, with the right vendor playing a key role in the process. Vendors should have a proven track record in digital transformation projects, understand the agency’s mission, comply with high-compliance standards, and offer consultative partnership relationships.

Generative AI holds immense potential for government agencies, but careful planning, infrastructure building, and expert guidance are essential for success. Organizations can assess their readiness for generative AI with workshops like SMX Elevate AI Labs or attend sessions like the one at the AWS Summit in Washington, DC on June 26, 2024.

For more insights on generative AI in the public sector, check out related stories on the AWS Public Sector Blog.

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https://aws.amazon.com/blogs/publicsector/generative-ai-for-public-agencies-5-best-practices-for-secure-implementation/

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