Navigating the Dimensions of Artificial Intelligence
A 6-part series offering a holistic analysis of AI and its broad implications
AI 360 is an innovative initiative that seeks to illuminate the multifaceted landscape of artificial intelligence. By uniting alumni from leading institutions such as MIT, Columbia, Johns Hopkins, and Harvard, this six-part series dives deep into the essential dimensions of AI: strategic foundations, business dynamics, ethical frameworks, governance structures, technical infrastructure, and workforce transformation. Designed specifically for senior professionals, this comprehensive series aims to empower attendees with the strategic insights necessary to navigate the complexities of AI’s impact on various industries.
As we embark on this educational journey, it becomes apparent that understanding AI isn’t just a technical endeavor but also one requiring engagement with its ethical, strategic, and social implications. The interactive nature of this series encourages every participant to engage with leading researchers, practitioners, and policymakers for a richer learning experience.
Session 1: Making the Case for AI
Featured Speaker: Dr. Rama Chellappa – Interim Director, Data Science and Artificial Intelligence Institute, Bloomberg Distinguished Professor at Johns Hopkins University, and Author of “Can We Trust AI?”
In the inaugural session, Professor Chellappa brings over 45 years of experience in AI, spanning the industry’s evolution from the AI winter of 1978 to today’s booming data-driven age. His expertise in computer vision, pattern recognition, and machine learning provides attendees with a vital historical context, enabling a better understanding of AI’s transformative power.
What You’ll Gain
- Historical Perspective: An exploration of AI’s journey from rudimentary rule-based systems to revolutionary applications across various industries.
- Industry Applications: Insights drawn from real-world case studies in sectors such as healthcare, finance, and transportation.
- Future Trends: A look at emerging technologies and their potential implications for organizations.
- ROI Insights: Identification of measurable returns and value propositions that accompany AI investments.
- Practical Wisdom: Guidance on when and how to implement AI responsibly.
Format: The session employs a blend of presentation and a fireside chat, catering to busy professionals who seek actionable insights rather than mere theoretical knowledge.
Upcoming sessions in the Series:
Session 2: The Business of AI – A deep dive into venture capital investments, strategies from major tech companies, and innovations in startups that are propelling AI commercialization. This session will also examine the evolving market dynamics and how organizations can achieve a compelling ROI on their AI investments.
- Date: Monday, November 17, 2025 | 6:30 PM
- Speaker: Karen Hao, NYT Bestselling Author of EMPIRE OF AI | TIME100 AI | Award-winning AI Reporter | Order my book: empireofai.com
Session 3: AI Tech Survey – This session will focus on the technical backbone of AI with discussions on computing requirements, cloud deployment strategies, data center architecture, AI chip technologies, edge computing solutions, and scalable security infrastructures.
- Date: January 2026 | Details to be announced
Session 4: Governing AI – Participants will explore federal and state regulatory approaches, international governance frameworks, and proposed legislation. This session will highlight the crucial balance between fostering innovation and ensuring oversight through public-private collaboration.
Date: March 2026 | Details to be announced
Session 5: Trust & Safety in AI – This session will address pressing issues such as algorithmic bias, privacy concerns, and safety standards. Attendees will engage in discussions aimed at developing ethical frameworks alongside accountability mechanisms for responsible AI practices.
- Date: May 2026 | Details to be announced
Session 6: AI & Workforce Evolution – The final session will explore job transformation across various sectors, reskilling strategies, and the necessary educational adaptations to prepare future generations. It will also delve into policy responses addressing workforce displacement and new career opportunities arising from AI advancements.
- Date: June 2026 | Details to be announced