Tackling Artificial Intelligence Solutions' Trust Issues

Tackling Artificial Intelligence Solutions' Trust Issues

In IDC's 2021 Worldwide Artificial Intelligence Strategies Buyer View Survey, 50% of surveyed Asia/Pacific organizations stated that trust issues remain a challenge for them to adopt artificial intelligence (AI) technology. In the midst of challenges, there always lies an opportunity. This IDC Perspective aims to lay out the different aspects of AI solutions in which trust issues reside, map these aspects to IDC's Future of Trust Framework, summarize major AI solution vendors' offerings that address these aspects, and provide guidance for tech buyers to work using trustworthy AI solutions."The success of AI depends on the trust its developers, operators, and users have in the technology," says Dr. Chris Marshall, associate VP, IDC Asia/Pacific. "Biases, security, privacy, and the lack of ethical sense are real concerns that can dramatically derail even the most sophisticated AI solution," he adds.

Please Note: Extended description available upon request.


Executive Snapshot
Situation Overview
The Six Types of Trust Issues in AI Applications
Tools and Solutions for AI Trust Issues
Mapping AI Trust Issues to IDC's Future of Trust Framework
Trust Elements
Trusted Outcomes
Advice for the Technology Buyer
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Related Research
Synopsis

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