The speaker addresses three major concerns: climate change, the unnoticed impact of artificial intelligence (AI) on personal decisions, and the misconception that AI systems are unbiased and ethically sound. They note that over 80% of AI proof of concepts fail due to a lack of trust in the AI models. Trust can be built through five pillars: fairness, ensuring equity for historically underrepresented groups; explainability, clarifying how the model was created; robustness, protecting against manipulation; transparency, informing users about AI involvement; and data privacy, safeguarding personal information. Additionally, IBM offers three principles for AI usage: AI should enhance human intelligence, data ownership belongs to the creator, and AI should maintain ethical integrity throughout its lifecycle. The speaker emphasizes the importance of addressing these issues to foster trust in AI.