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Hiwot Tesfaye

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Pondering AIPondering AIInclusive Innovation with Hiwot TesfayeHiwot Tesfaye disputes the notion of AI givers and takers, challenges innovation as an import, highlights untapped global potential, and charts a more inclusive course. Hiwot and Kimberly discuss the two camps myth of inclusivity; finding innovation everywhere; meaningful AI adoption and diffusion; limitations of imported AI; digital colonialism; low-resource languages and illiterate LLMs; an Icelandic success story; situating AI in time and place; employment over automation; capacity and skill building; skeptical delight and making the case for multi-lingual, multi-cultural AI. Hiwot Tesfaye is a Technical Advisor in Microsoft’s Office of Resp...2025-08-0650 minThe Way Forward Regenerative ConversationsThe Way Forward Regenerative Conversations#35 Navigating AI: Ethical Challenges and Opportunities a conversation with Hiwot TesfayeIn a time when AI is both celebrated for its potential and feared for its risks, join us as we dive into the complex world of artificial intelligence with Hiwot Tesfaye, Technical Advisor in Microsoft's Office of Responsible AI.  She provides a perspective on how we can harness this powerful technology responsibly. From addressing systemic inequities to imagining a future where AI and humans coexist harmoniously, this episode promises to challenge your thinking and inspire new possibilities." In this episode, we explore the ethical dimensions of artificial intelligence with Hiwot Tesfaye. She delves into the delicate balance o...2024-06-171h 06The Health PulseThe Health PulseThe Health Pulse: AI and Bias in HealthcareData scientist Hiwot Tesfaye joins Greg for a conversation about the use of algorithms in health care and how models can introduce bias. Algorithms are used broadly in health care to influence access to care, improving health outcomes, addressing costs, etc. A lot of the use cases Hiwot sees are related to risk mitigation. In these cases, algorithms and artificial intelligence (AI) are used to learn historical patterns and make predictions around the risk of things like a patient not showing up for an appointment or not adhering to treatment plans. There is great promise in these types of...2021-03-0528 min