Topics include: AI in neuroscience, responsible AI use, generative AI, healthcare applications, regulatory challenges, machine learning in healthcare, and neurotech ethics.
New research from Wharton highlights that while generative AI like ChatGPT can enhance individual idea quality, it may reduce diversity among group ideas, which is crucial for innovation. Ensuring diversity in ideation processes involves changing prompts and incorporating multiple AI models or starting with human ideas, as suggested by the study’s authors.…Read More
The article by Cornelia C. Walther, a visiting scholar at Wharton, discusses the importance of embedding accountability at every level in the development and deployment of AI systems, using a framework called M4-Matrix to assign responsibilities from micro to meta levels. It highlights the significance of integrating ethical values and systemic accountability in AI governance for achieving long-term competitive advantages and minimizing risks.…Read More
Neuroscientists Michael Platt and Peter Sterling highlight that the declining global fertility rate is attributed to increasing social isolation and anxiety, fundamentally altering economic and social landscapes. They emphasize that traditional government interventions have been ineffective, suggesting deeper societal and lifestyle restructuring to counteract negative mental health trends influenced by digital culture.…Read More
The article discusses the implications of advancements in AI, particularly large language models like ChatGPT, on various fields, exploring the interplay between artificial intelligence and neuroscience as well as the ethical considerations and potential societal impacts, such as displacement of jobs, the integration in education, and the biases in data training. Experts Michael Platt and Elizabeth “Zab” Johnson from the Wharton Neuroscience Initiative highlight current projects that leverage AI for brain science and underscore the intersections of technological advancements with human creativity and societal application, predicting rapid changes and the need for thoughtful governance.…Read More
Co-taught by faculty from the Wharton Neuroscience Initiative and the Marketing Department, Visual Marketing (MKTG 239/739) gives Penn students hands-on experience with how visual perception influences consumer behavior. Blending neuroscience, analytics, and brand strategy, the course combines classroom instruction with eye-tracking labs, fieldwork, and real-world projects with industry partners like The Hershey Company. Students explore how design, packaging, and visual storytelling shape decision-making—equipping them with a modern, data-informed approach to marketing.…Read More
