Demystifying AI: Understanding Risks and Shaping the Future

This course equips students with practical insights into the evolving world of Artificial Intelligence (AI), focusing on the risks and impacts that shape our technology landscape. Through accessible, engaging concepts, students will explore AI’s development, understand deep learning in non-technical terms, and examine the ethical dimensions of AI with real-world case studies. Designed for learners from all backgrounds, the course emphasizes the importance of informed perspectives in navigating AI’s challenges and opportunities.

Advance your Career with in-demand AI Expertise & Credentials

Upon completion of the course, you will earn a certificate issued by Prudue University, USA. This is part of the stack credentials for the Chief AI & Data Strategy Officer Course, jointly awarded by Aventis and Prudue University 

This course provides a solid foundation for understanding AI's potential and challenges, fostering critical thinking about its role in our future. By the end of this course, students will be able to:

1. Describe the history and evolution of AI research, understanding why deep learning became the leading approach.

2. Explain the principles of deep learning in a clear, non-technical manner.

3. Identify and analyze the diverse risks posed by AI, from speculative long-term fears to current, immediate impacts on the economy, labor markets, and civil society.

• History of Artificial Intelligence

Overview of AI’s development, tracing its origins to modern advancements and the factors that propelled deep learning.

• A Crash Course on Deep Learning

An accessible introduction to how deep learning works, covering key concepts without technical jargon.

• The Singularity and Other Speculative Fears

Exploration of speculative AI risks, including the concept of the singularity and hypothetical future scenarios.

• The Immediate Risks of Artificial Intelligence

Examination of tangible risks, such as economic and labor market shifts, ethical dilemmas, and societal implications.