Responsible AI in Government
Key Takeaways:- Learn best practices for developing AI responsibly.
- Understand core responsible AI principles and frameworks.
- Discover how US legislation affects your approach to responsible AI.
Description
AI adoption in government presents both opportunities and risks, making responsible AI practices essential for maintaining public trust and ensuring fairness. From transparency and explainability to bias mitigation and accountability, AI leaders in federal agencies must navigate complex challenges while complying with evolving regulations. Without clear governance and ethical safeguards, AI systems risk reinforcing biases, reducing trust, and failing to meet public sector expectations.
In this session, Xiaochen Zhang, Executive Director, AI 2030, Solomon Abiola, Director of AI & ML Policy & Governance at the State of Maryland, and Hadassah Drukarch, Director of Policy & Delivery at the Responsible AI Institute, discuss the principles of responsible AI in government. You’ll learn how to responsibly implement AI systems, foster a culture of governance, and navigate U.S. and international AI regulations. This session is designed for AI leaders in government looking to ensure their AI initiatives align with ethical and legal standards while delivering real public value.
Presenter Bio
Xiaochen is a data and AI leader with 20 years of experience in financial markets and international development. As the former Global Head of Innovation & GTM at AWS, he led a team developing cutting-edge solutions in digital assets, central bank digital currency, green finance, and regulatory and supervisory technologies. As Chief Responsible AI Director at AI 2030, Xiaochen is helping raise public awareness of responsible AI issues.
Solomon’s career has spanned tech, academia, and consulting, with a focus on AI and policy development. At AWS, he helped release AI products to millions through initiatives like AWS Educate and the Cloud Institute—plus some cool Twitch videos if you're interested in learning more about AI. Solomon holds dual PhDs in Computer Science and Translational Biomedical Sciences. My experience also includes working in startups—one of which uses AI to track national policy. Additionally, he contributed to the development of AI-driven policies for infectious disease tracking and helped design a patent-pending wearable device during the Ebola and COVID outbreaks, in collaboration with the Nigerian government.
Hadassah collaborates with policymakers, industry leaders, and technology providers to develop responsible AI benchmarks, governance frameworks, and best practices. Hadassah is focused on simplifying complex landscapes into actionable strategies that drive measurable business impact. Guided by the principle of ‘show, don’t tell,’ she is dedicated to bridging the gap between vision and execution — articulating the ‘why,’ defining the ‘what,’ and delivering the ‘how’ to foster responsible innovation.