In reviewing the most common AI applications, we'll examine AI development history
over the last 80 years and describe AI’s main approaches/models (rules-based
systems, machine learning, Deep-Neural-Network, Conditional Probability.) We'll
consider copyright infringement, generated bias and the rush to secure the large data
sets required for training Deep-Neural-Network models. We will discuss how AI
applications can provide benefits or be detrimental on both a personal and a societal
level (e.g. job restructuring; fake news), and how these applications need wise
regulations. We will have a look at the future of AI and the prospect of more advanced
artificial general intelligence. We’ll consider the most common applications: ChatGPT;
Dall-2/3; Image/face recognition; self-driving cars; warehousing and manufacturing
robots; personal assistants/companions; purchases, books and movie
recommendations.
Some of the questions to be raised in the class include:
How does Deep-Neural-Network compare with the human brain?
How original, accurate and bias-free are ChatGPT outputs?
How do we differentiate ourselves from our "silicon" counterparts?
Could AI develop consciousness?
Artificial General Intelligence—where is it leading us?