seminars
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Artificial intelligence in medicine: challenge or opportunity?
בוגר הפקולטה לרפואה בטכניון, התמחות באורולוגיה במרכז הרפואי מאיר והשתלמות עמיתים באורולוגיה אונקולוגית במרכז הסרטן Memorial Sloan Kettering בניו יורק. כיום מנהל היחידה לאורולוגיה אונקולוגית במרכז הרפואי העמק. בוגר השתלמות עמיתים בנושא חדשנות ויזמות ברפואה וחבר ועד בחברה הישראלית לטכנולוגיה עילית ברפואה. מעבר לתפקידי כרופא ומנתח אני עוסק בחדשנות במישורים רבים – ייעוץ לחברות הזנק… Continue Reading Artificial intelligence in medicine: challenge or opportunity?
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Artificial Social Intelligence
Abstract: Artificial intelligence (AI) has been growing at an unprecedented pace. Many of us have experienced a “ChatGPT moment” — a realization that AI will profoundly transform our lives. While numerous challenges and calls for improvement remain, there is little doubt that AI agents will play a central role in shaping our future. We argue,… Continue Reading Artificial Social Intelligence
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Learning analytics that facilitate meaningful learning experiences
Abstract: The focus of education is shifting from outcomes to processes. How do learners make sense of new challenges, and how can such sense-making be identified and supported? In this talk, I will demonstrate how the use of learning analytics and digital trace analysis, coupled with innovative design and strong theoretical foundations, allows us to… Continue Reading Learning analytics that facilitate meaningful learning experiences
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Fundamentals of Aligning General-Purpose AI – Job Talk
Abstract: The field of artificial intelligence (AI) is undergoing a paradigm shift, moving from neural networks trained for narrowly defined tasks (e.g., image classification and machine translation) to general-purpose models such as ChatGPT. These models are trained at unprecedented scales to perform a wide range of tasks, from providing travel recommendations to solving Olympiad-level math problems.… Continue Reading Fundamentals of Aligning General-Purpose AI – Job Talk
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From Waitlists to Well-Being: An Analytical Approach to AI-Supported Mental Healthcare
Abstract: The growing burden of mental health disorders is straining healthcare systems, leading to long waitlists and delayed access to therapy. Such delays can worsen symptoms, increase dropout rates, and impose substantial societal costs. Advances in Artificial Intelligence (AI)—including supervised conversational agents—offer scalable opportunities to support patients during these waiting periods. We develop a multi-class,… Continue Reading From Waitlists to Well-Being: An Analytical Approach to AI-Supported Mental Healthcare
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Ideas Are a Dime a Dozen with GenAI, but Who Will Champion Them? Gaining and Losing Idea Ownership in Human-AI Knowledge Work
ABSTRACT Generative Artificial Intelligence (GenAI) is rapidly being adopted in creativity and innovation processes across industries. Emerging research suggests that GenAI may enhance innovation by facilitating idea generation early in the creative process, enabling individuals to produce many ideas effortlessly. Concurrently, however, a new tension is emerging around ownership of these ideas and their subsequent… Continue Reading Ideas Are a Dime a Dozen with GenAI, but Who Will Champion Them? Gaining and Losing Idea Ownership in Human-AI Knowledge Work
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Robust and Actionable ML via Causality
Abstract: Artificial Intelligence is increasingly deployed in high-stakes fields such as healthcare, where two critical challenges emerge: models must generalize to real-world variations and their predictions must be actionable for decision-makers. The generalization challenge arises when AI is applied to data that differs from its training set, a phenomenon known as distribution shift. The actionability challenge… Continue Reading Robust and Actionable ML via Causality
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Robust and Actionable ML via Causality
Abstract: Artificial Intelligence is increasingly deployed in high-stakes fields such as healthcare, where two critical challenges emerge: models must generalize to real-world variations and their predictions must be actionable for decision-makers. The generalization challenge arises when AI is applied to data that differs from its training set, a phenomenon known as distribution shift. The actionability challenge… Continue Reading Robust and Actionable ML via Causality
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Information Management Engineering
Ongoing developments in information technologies are enabling the creation of information systems in a variety of fields, with an ever-increasing scale and sophistication. At the same time, users’ demands from information systems are also growing. Information system engineers are required to develop applications and products whose complexity and intricacy are constantly increasing. These systems utilize the latest technologies such as communication and distributed systems, command and control using artificial intelligence, data organization and retrieval, organizational resource management systems, e-commerce systems, integrated hardware and software systems and decision support systems. Continue Reading Information Management Engineering
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