Human-Centered AI: A Path to Building Trust in Technology

For organizations aiming to leverage AI, understanding the barriers to AI-adoption and addressing consumer concerns is paramount. When evaluating a new technology, individuals weigh the benefits against the risks. The perceived benefits must outweigh the risks for adoption to occur. As Bingley et al. (2023) note in their study of user experiences with AI, seamless functionality and ease of adoption are critical for end users. Four in 10 (39%) of those who have had negative experiences with AI cite poor functionality as a top barrier to adoption. The key to AI adoption is to experience and communicate the positive outcomes of this technology. In fact, the study continues to show that four in 10 (42%) consumers who have had good experiences with AI list social impact as the leading factor shaping their positive attitude towards AI.

Human-Centered AI: Bridging the Gap between Builders and Communicators

Human-centered AI (HCAI) emphasizes shifting the focus from technology to people. According to Bingley et al., functionality and social impact are defining features of positive user experiences with AI. While developers certainly prioritize functionality, they also focus on ethics, privacy, and security -- mportant but not always aligned with user priorities or knowledge. For AI to be truly human-centered, it must not only work well but also show users how it benefits them and the larger society. This is where developers need to partner with communication professionals to show how AI-powered technologies and experiences can positively impact humanity.

Path to Building Trust in AI

Building trust in AI requires a multifaceted and balanced approach to communications, striking just the right chords to appeal to consumers’ sensitivities:

1. Transparency is the new code: Clearly explain the benefits of AI for individuals and society. Transparency helps demystify AI and address fears. Those qualified and curious may even want to look behind the scenes. Consider balancing automation with human control for these individuals. Empower them with opportunities to shape critical decisions in processes.
2. Focus on functionality and service: Ensure AI systems are user-friendly and effective. Positive user experiences are pivotal for trust. Implement mechanisms for continuous feedback from users and regularly update and improve the AI system based on this feedback.Capture negative experiences and address promptly.
3. Personalization is the path to early adopters: Tailor AI interactions to meet individual preferences and needs. Personalization can bridge the gap between AI capabilities and user expectations. It can also be the gateway to bring in those tech-forward users who are willing to try new systems in exchange for a stellar, customized experience.
4. Show tangible social impact: Highlight the positive societal impacts of AI and illustrate how the individual experiences and contributions can ladder up to significant, positive changes for more people. Emphasize accessibility and inclusivity. When users see tangible benefits, they are more likely to embrace the technology.

Conclusion

The path to earning trust in AI is challenging but achievable. By prioritizing transparency, personalization and social impact in their communications, organizations can foster a more positive perception of AI. As trust in technology continues to evolve, organizations will need to go beyond functionality in their AI applications to increase reach and adoption. Innovative organizations that align their AI strategies with human-centered principles will be better positioned to succeed.

Posted at MediaVillage through the Thought Leadership self-publishing platform.

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The opinions expressed here are the author's views and do not necessarily represent the views of MediaVillage.org/MyersBizNet.