AI For Everybody

Event Description

Something remarkable is happening, and it is happening fast. In this lecture series, we cut through the hype and the headlines to see AI as it really is: what it can do today, what it might do tomorrow, and why it may be the most disruptive technology of our lifetimes. We will map out the field, celebrate its biggest breakthroughs, face its genuine concerns. ​Lecture 1 : General Intro to AI & guide to resources. This lecture will underscore how novel, important and disruptive AI has been and is projected to be. It will provide a comprehensive guide to resources about AI. Lecture 2 : A history of AI. This lecture will deal with historical developments of AI, where we will discuss the history of AI broken up into four eras: Pre -1950, 1950-2000, 2000-2019 and 2019 – present. Lecture 3 : The nature of the technology. This lecture will explain how the prediction paradigm drives the entirety of AI. Machine Learning paradigms will be introduced next. Then, we will discuss Deep Learning architecture and Large Language Models. Lecture 4 : Industry applications of AI. This lecture will focus on the application of AI in some key industries and functional areas of business such as Healthcare, Sports, Banking and Finance. Case studies of the use of AI in solving specific problems will be discussed . Lecture 5 : AI , Society and the economy. We will discuss issues such as worker rights , human agency and social cohesion , epistemic collapse, environmental sustainability, and finally will AI eventually make all of us second-class citizens, Matrix-style? Lecture 6 : Practical AI tools for everyone. We will discuss AI-based tools and offer a broad comparison of Gemini, ChatGPT and Claude and guidelines about prompt engineering, hallucination-free research documentation, graphics etc. Meet your Instructor: Dr. Ani Dasgupta - Dr. Ani Dasgupta holds a Bachelors in Physics (St. Xavier’s College, Kolkata, India), a Masters in Statistics (Indian Statistical University, New Delhi, India) and a PhD in Economics (Princeton University, USA). He has taught at Penn State University, Tufts University, IIMC (Kolkata, India), Boston University and is a full professor at the International Business Department of Massachusetts Maritime Academy (MMA). His fields of academic specialization are Game Theory, Econometrics and Finance. He is in charge of the administration of the AI Concentration offered at MMA and is a member of the steering committee of MACH (Massachusetts Artificial I