The proliferation of AI in businesses comes with challenges related to trust. According to the SAS Data and AI Impact Report, although 78% of respondents trust AI technologies, only 40% of these systems are deemed trustworthy. This disparity suggests a troubling risk: overconfidence can lead to over-reliance on AI, while a lack of trust results in underutilization, both of which hinder ROI.
To address these challenges, organizations must foster a culture of balanced trust in AI systems, combining proper training with clear guidelines on their use. Communication about the risks and effectiveness of AI tools is vital, as is the establishment of guardrails during AI development processes. Such a strategic approach to AI trust can pave the way for achieving higher returns on AI investments, ensuring that organizations realize the full potential of their AI initiatives by making informed decisions throughout the AI lifecycle.
👉 Pročitaj original: CIO Magazine
