HHS releases trustworthy AI booklet and website
The playbook aims to promote the ethical and successful adoption of AI across HHS.
The Department of Health and Human Services released its Artificial Intelligence Handbook to provide high-level information on trusted AI and guidance for deploying AI through its typical life cycle.
HHS released its Trustworthy AI Playbook (TAI)alongside the launch of its AI websitenearly a year after the agency released its AI strategy and appointed Oki Mek as its first AI director. The new playbook seems to meet the requirements of CAMO M-21-06 and Executive Order 13960, which calls on agencies to encourage AI innovation and growth while establishing ethics and principles around the technology.
The playbook aims to guide HHS leadership to create policies around TAI and assess the risks associated with AI investments, while highlighting how program and project managers can properly integrate it, work with teams before creating AI solutions, overseeing projects throughout their lifecycle and mitigating risks.
Rather than cementing a formal policy or standard, the playbook outlines AI adoption to promote the White House TAI principles, centralize relevant federal and non-federal resources, and establish a framework for intelligent adoption throughout the lifecycle of AI and its future use.
“HHS has an important role to play in strengthening American leadership in artificial intelligence,” Mek said in the playbook. “As we use AI to improve the health and well-being of the American people, we must maintain public trust by ensuring our solutions are ethical, effective, and secure.”
The playbook highlights six principles for the agency to apply to “all phases of an AI project,” which call for HHS AI to be fair and unbiased, transparent and explainable, responsible and accountable, sturdy and reliable, safe and secure, and privacy guards.
From these principles, the playbook examines the entire AI lifecycle, from initiation and design to deployment and operational maintenance, to highlight how to apply these principles through common and critical stages of AI. adoption of AI.
The playbook provides various use cases at different stages of the lifecycle to show how to apply the principles in stages such as designing solutions and assessing model risk factors. These use cases include automated medical document processing, AI for medical billing fraud detection, chatbots for customer service, and more.
Mek hopes that this information provided by the playbook will increase the success rates of AI projects in HHS.
“As numerous studies have shown that approximately 85% of AI projects fail, the playbook helps guide the building of reliable AI and will help increase success rates,” Mek said in a post on the networks. social advertising website and HHS AI playbook. “To truly reap the benefits of AI, we need to communicate, share and collaborate across the healthcare industry. AI provides us with a huge instrument to keep the flame of intelligence even brighter.
With the playbook in place, HHS will focus on deeper collaboration and dialogue around AI in 2022. These include:
- Cultivating the HHS AI Community of Practice
- Host other AI lunches and learning sessions for HHS staff
- Establish the HHS AI Council to execute the HHS AI strategy
- Expand the playbook as needed to promote ethical and trustworthy AI
- Develop an inventory of AI use cases