Responsible AI & Ethics
Addresses the critical considerations for developing and deploying AI systems responsibly, ensuring ethical guidelines, fairness, and transparency in public sector applications.
Viral Moments
7
Public dashboards reveal disparities.
AI for Public Service
Trust is fragile
AI model transparency
Accountability in AI
AI in production
Trust is everything
Key Quotes
3
“There is as you suggested significant risks of not using powerful tools at least not using powerful tools appropriately.”
“We can't be reckless, but we can't be fearful about experimenting and being innovative.”
“We are rich in data and poor in information. With supporting all these countywide applications, we have the entire County's financial data and administrative data, but are we able to answer the questions that come from the board or from any other programs that you know we are working on readily available?”
Chapters
17
Articles
3
In an era where artificial intelligence is rapidly transforming industries, its application in the public sector and healthcare presents both immense opportunities and significant challenges. Rebecca Nissan, a Delivery Solutions Architect specializing in healthcare and life sciences, highlighted the critical need for 'trustworthy and trusted' AI. This means not only building systems that are technically sound but also ensuring that end-users, from clinicians to citizens, have confidence in their capabilities. The session delved into practical frameworks and real-world perspectives on how to responsibly innovate with AI.
The State of Washington is setting a new standard for public service by implementing a robust, unified data strategy. This initiative, powered by platforms like DataBricks, aims to transform how government operates, ensuring more accessible, equitable, and effective services for all residents.
The public sector is at a pivotal moment, actively embracing data modernization and artificial intelligence to tackle complex challenges, enhance citizen services, and streamline operations. From federal defense to state and local health initiatives, agencies are demonstrating how strategic data platforms and AI can deliver unprecedented impact, even amidst inherent bureaucratic complexities.