Title: 

Can Machines Think Like People? A Survey of Perspectives

Abstract:

Are LLMs thinking? If they are, then are they thinking like us? Perhaps the question itself is not correctly formed. Given the things we are seeing AIs do and their potential going forward, what then does it even mean to be human.

In this presentation I consider the question “Can Machines Think Like People?”. That is, can they become capable of creativity, intuition, emotion and original thought. This question, which for so long was an abstract thought experiment, will soon become one of the most pressing issues of our time.

In the session, I cover the history of thought and analysis on this topic. From historical perspectives from the likes of Aristotle and Descartes, to modern thinkers like Turing and Penrose. I cover the major arguments, both for and against.

I don’t present an answer - but hopefully I can equip you with the background and context needed to make sense of the developments which inevitably will arise in the coming months.

Presenter:

Pete Rai is a Principal Engineer in Cisco's Emerging Technologies and Incubation Office. He works on a variety of innovation projects and has a background in complex and large-scale data management solutions. He spends most of his day worrying about data: its form, shape, meaning and function. He is also part of a team helping to define Cisco’s internal processes around the ethical use of data and AI.

Connection: 

Microsoft Teams 

Need help?

Join the meeting now

Meeting ID: 369 233 936 144 6

Passcode: fk7wq25D