More than 60 organizations – from global tech brands to start-ups and healthcare industry leaders – convened by the Consumer Technology Association (CTA) have developed a new ANSI-accredited standard that identifies the core requirements and baseline to determine trustworthy AI solutions in healthcare, announced CTA in a press release. This standard, part of CTA’s initiative on AI in healthcare, is the second in a series of standards focused on implementing medical and healthcare solutions built on AI.
“AI is providing solutions – from diagnosing diseases to advanced remote care options – for some of health care’s most pressing challenges,” said Gary Shapiro, president and CEO, CTA. “As the U.S. health care system faces clinician shortages, chronic conditions and a deadly pandemic, it’s critical patients and health care professionals trust how these tools are developed and their intended uses.”
The consensus-driven standard – ANSI/CTA-2090, The Use of Artificial Intelligence in Health Care: Trustworthiness – considers three expressions of how trust is created and maintained, including:
· Human Trust focuses on fostering humanistic factors that affect the creation and maintenance of trust between the developer and users. Specifically, human trust is built upon human interaction, the ability to easily explain, user experience and levels of autonomy of the AI solution.
· Technical Trust focuses on the technical execution of the design and training of an AI system to deliver results as expected. Technical trust can also be defined by considerations for data quality and integrity including issues of bias, data security, privacy, source and access.
· Regulatory Trust is gained through compliance by industry based upon clear laws and regulations. This trust can be based upon information from regulatory agencies, federal and state laws and accreditation boards and international standardization frameworks.
“Establishing these pillars of trust represents a step forward in the use of AI in health care,” said Pat Baird, regulatory head of global software standards at Philips and co-chair of the working group. “AI can help caregivers spend less time with computers, and more time with patients. In order to get there, we realized that different approaches are needed to gain the trust of different populations and AI-enabled solutions need to benefit our customers, patients and society as a whole. Collaboration across the health care ecosystem is essential to establish trust.”
The new standard joins a previous standard outlining definitions and characteristics to provide a framework to better understand AI technologies and common terminology so consumers, tech companies and care providers can better communicate, develop and use AI-based health care technologies.
Visit CTA to see the list of participating organizations.
