Pell also emphasizes the need for clarity in the application of AI in the workplace and the importance of retaining a human element in decision-making processes. He argues that AI should be used to amplify human potential, not replace it, and that its results should be explainable. The article concludes by suggesting that bridging the trust gap in AI is not just about the technology itself, but also about ensuring that its implementation benefits all stakeholders.
Key takeaways:
- Trust in AI is crucial for the success of enterprise technology projects, and at present, AI for the workplace is trusted by a slim majority, according to a global survey conducted by Workday.
- Businesses need to build trust in AI by implementing and regulating it responsibly, with frameworks, usage policies, and transparency guidelines that are actively used to evaluate how the technology should and should not be used.
- Clear understanding of the tasks AI will be used for and how it will work is important, with a distinction drawn between consumer tools and enterprise-grade, workplace AI.
- Keeping humans in the loop for decision-making is key, with AI tools being transparent in their operation and their results explainable, allowing for human review and intervention.