Building trust in AI-Powered automation
25 Mar 2025
- Understanding the Trust Deficit: Gain a clear understanding of why trust is crucial for the successful adoption of AI in automation and the factors that contribute to a lack of trust, including concerns about safety, bias, and job displacement.
- Building Blocks of Trust: Outlining the core components of building trust in AI-powered automation, such as transparency (understanding how AI systems work), explainability (being able to interpret AI decisions), accountability (establishing clear lines of responsibility), and rigorous risk assessment throughout the AI lifecycle, ensuring a holistic approach to trust.
- Building a Foundation for Trust: Gain the knowledge to navigate the complexities of responsible AI deployment. Explore key considerations for businesses, including ethical implications, data governance, and the importance of ongoing monitoring and evaluation of AI systems.
