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At the HIMSS Global Health Conference, a speaker emphasized the risks of AI in healthcare, detailing failed AI initiatives like Air Canada's chatbot and Tessa, a flawed eating disorder chatbot. They shared ten tips to approach AI transformation safely, focusing on transparency, data governance, and interdisciplinary collaboration. Examples of successful AI implementations underscored the importance of a "leadership first, tech last" mindset, prioritizing people's needs over technology. The speaker advocated for a mature understanding of AI, highlighting a holistic deployment approach and investing in a data-driven culture. This approach, guided by the American Medical Association's view of AI as "augmented intelligence," underscores the need for responsible AI use rooted in human-centered leadership and scientific insight, preparing organizations for a sustainable and impactful AI-powered future.
At the HIMSS Global Health Conference, a speaker addressed the risks of AI in healthcare, citing failed initiatives like Air Canada's chatbot and Tessa, a flawed eating disorder advisor. They provided ten tips for safe AI transformation, emphasizing transparency, data governance, and interdisciplinary collaboration. Successful AI implementations highlighted the importance of a "leadership first, tech last" approach, focusing on people's needs over technology. The speaker advocated for a mature understanding of AI, incorporating a holistic deployment strategy and investing in a data-driven culture, aligned with the American Medical Association's view of AI as "augmented intelligence."
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