Trust is essential in the evolution of AI, with a focus on explainability and fairness. Utilizing differential privacy and fair representation algorithms can help mitigate bias, enhancing user confidence in machine learning systems. The future looks promising, particularly in the Toronto area, where diverse AI challenges are emerging, especially in collaboration with startups.
