… Alansari & Dr. Susan Kardong-Edgren Area of Expertise Artificial Intelligence (AI) Visit our Lab REBEL Lab In an era of rapid innovation, big data, and shifting norms, … may be embedded in their design. 1 Without transparent and equitable disclosure from developers, clinicians, and healthcare educators are left to trust in systems … harm and maintaining vigilance to detect and address adverse events that can arise from model errors, data drift, or hidden bias in algorithms. 1 Safer AI is not …

… AI-powered translation tools make educational materials accessible to students from various linguistic backgrounds, while personalized tutoring provides extra … use versus non-use of AI carefully. Educators should actively discourage students from using AI irresponsibly (e.g., when it is best for learning not to use it or when … By limiting its misuse, educators can guide AI's role in a way that prevents it from leading students down potentially self-sabotaging or unethical paths. This …

… and master its applications. As AI becomes more integrated into healthcare systems—from diagnostics and treatment planning to patient monitoring—future healthcare … and diagnostics, and personalize treatment plans, these applications are distinct from generative AI. Although traditional AI remains prevalent and crucial in … regardless of whether they'll use it in these environments, may divert attention from other vital skills more relevant to their future work. Moreover, AI's potential …

… these foundational elements allows students to appreciate how AI systems learn from data, make predictions, and perform tasks that traditionally require human … should also be aware of the diverse applications of AI across various fields. From healthcare, where AI assists in diagnostics and treatment planning, to finance, … these foundational elements allows students to appreciate how AI systems learn from data, make predictions, and perform tasks that traditionally require human …