i3 - March/April 2021 - 11

By Kerri Haresign

Tech

PIPE LINE

Trust and Regulatory Trust. While each
of these concepts are individually
explored in the standard, it is important
to note that each of these expressions are
interconnected and some topics (e.g.,
addressing bias) might be a factor of all
three types of identified trust.
● 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,
explainability, 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,
rtificial intelligence (AI) is an ingredient that is touchdata security, privacy, source, and access.
ing all aspects of the consumer technology industry.
● Regulatory Trust focuses on compliSpecifically, in health care the use of AI presents treance and enforcement of the law and
mendous opportunity to improve outcomes, lower costs and
regulations by industries to gain trust.
This trust can include information from
enhance patient experiences. For example, as the health care
regulatory agencies (e.g., FDA, FTC),
system deals with clinician shortages, aging populations and
federal and state laws and accreditation
the persistence of chronic diseases, technology driven solutions,
boards, and international standardizasuch as AI, will be increasingly used to meet clinician needs.
tion frameworks.
This power and opportunity have been on display in
Establishing these pil2020 and early 2021 as the world has looked for new
lars
of trust represents a
Establishing
step
the use
and innovative ways to address health care challenges.
three pillars of of AIininadvancing
health care, but it
trust represents is important to note that
To support these tremendous opportunithe session, subject mata step in
the identification of the
ties, CTA has convened over 50 organiza- ter experts from Philips,
tions to develop industry best practices
the American Medical
advancing the types of trust is only as
valuable as it is commufor AI in health care. In February 2020,
Association, and the
use of AI in
nicated and understood
CTA published its first AI in health care
Duke Margolis Center
health care.
by the diverse end users
standard, building a foundation for
for Health Policy shared
in the ecosystem. The
future standards by establishing definitheir perspectives on
conference session also
tions and characteristics for the use and
opportunities and barriemphasized the importance of collaboraapplication of AI in health care. A second ers on the promise of AI for health care.
tion across the health care ecosystem to
standard addressing trustworthiness was
As addressed in the conference seshelp in the establishment of trust.
recently released. ANSI/CTA-2090, The
sion, trustworthiness is a complicated
One mechanism to support collaboraUse of Artificial intelligence in Health
concept since the nature of AI can make
tion is industry standards through a conCare: Trustworthiness identifies the core people suspicious of product perforsensus driven process. Addressing these
requirements and baseline for AI
mance, specifically in health care applichallenges can improve innovation and
solutions in health care to be deemed
cations. Many factors go into earning
as trustworthy.
and sustaining trust in an AI health care focus on the urgent need to understand
and agree upon key concepts for AI in
product or application and these factors
health care in a timely manner.
vary depending on the type of use and
Earning Trust
end user/stakeholder.
This standard and the topic of trust on
ANSI/CTA-2090 considers three major
AI in health care was featured during
GO ONLINE: Want to join the conversation?
expressions of how trust is created and
the " Trust and The Impact of AI on
Visit CTA.tech/standards or contact
maintained: Human Trust, Technical
Health Care, " session at CES 2021. In
standards@CTA.tech for more information.

Trust and the Impact
of AI on Health Care

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i3 - March/April 2021

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