How Do You Know You Can Trust AI?
A concept known as explainability helps make artificial intelligence (AI) applications seem trustworthy. But what does explainable AI mean? And how might AI change things for the better? For the worse?
A concept known as explainability helps make artificial intelligence (AI) applications seem trustworthy. But what does explainable AI mean? And how might AI change things for the better? For the worse?
Secure, trusted elections are critical to our democracy. Ensuring this security means protecting ballots and voting machines on election day and preventing disinformation leading up to the use of those machines.
To truly realize their healthcare potential, AI systems must be developed responsibly and in ways that warrant people’s trust. Here are real-world examples of how AI can drive better federal health outcomes.
Is AI a world-ending threat or a world-changing breakthrough? Will it steal your job? We checked what the experts have to say.
Constituents have increasingly high expectations, and government agencies are pressed to do more with limited resources. Digital tools, such as artificial intelligence, can transform how government meets public needs and supports agency staff.
Government agencies need room to find out the best uses of AI to achieve their goals and to help those they serve. They need AI laboratories that provide a safe space to experiment, to find out what works, and — maybe more importantly — what doesn’t.
The more you learn about artificial intelligence (AI), the more confused you might be. Here are some helpful definitions of the most popular forms of AI to help you make sense of it all.
We asked GovLoop readers about their AI-related thoughts and experiences. How are people using AI? What value does it offer, and what would make agencies use the technology more? Is AI more of a benefit or a risk, and why?
Artificial intelligence (AI) has the potential to drastically improve the efficiency and efficacy of public health communications. But it isn’t a magic wand, and agencies must remain vigilant about potential AI risks.
As artificial intelligence becomes more prevalent, governments are attempting to control its risks through internal guidance and legislation. Here’s where those efforts stand.