The Pitfalls of Building Your Own Generative AI Solution
The allure of building your own generative AI applications may be irresistible — but it’s not as straightforward as it seems.
The allure of building your own generative AI applications may be irresistible — but it’s not as straightforward as it seems.
A new Department of Health & Human Services agency, ARPA-H, is laser-focused on biomedical breakthroughs and innovations that could redefine healthcare in this country. Here’s how ARPA-H is doing it.
Blanket bans or prohibitions against government agency use of generative AI won’t work. The recent Executive Order on AI takes a much more effective approach to guiding agencies on the proper way to adopt this new technology.
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.
Innovation is more than a process: It’s a culture. Here’s how Philadelphia’s Office of Innovation and Technology makes it happen.
Understanding the root cause of complex system failures can be tricky, and our desire for accountability may sometimes be at odds with learning the root cause. Incorporating blameless postmortems to help identify issues could help agencies provide better services to those who need them.
Automating processes internally so that the public doesn’t need to go through manual processes can help save people time and get them the help they need.
ChatGPT and similar tools hold enormous potential to help governments deliver better services. How they are adopted and used will make the difference between success and failure.
Montana’s Department of Natural Resources and Conservation employed maps and dashboards to add transparency to the distribution of economic stimulus funds.
One very impactful way to improve public service delivery is to create tools to help operational staff do their jobs more effectively or efficiently.