Future AI: Technologies That Think: Founder: Charles J. Simon

Charles Simon Will Present a Keynote at AGI-22 on Sunday, August 21st at 1:30 PM

Join in-person or watch the free livestream (link coming soon)

AGI-22 Will Take Place in Seattle, WA, USA from August 19th – 22nd, 2022

The Conference Will Be a Virtual and Live Event, With 3 Options for Attendance:

  • Attend Live in Person
  • Premium Virtual Attendance
  • Free – Full Livestream of Conference

Conference Schedule. See the Registration page for the full list of pricing, and to reserve your attendance today.


Featured Events from Future AI

The keynote by Simon, whose background in electrical engineering, computer science, and neuroscience give him a unique viewpoint with respect to AI and AGI, will examine the level of creativity shown by today’s cutting-edge AI (such as GPT-3 and DALL E) and how a future AGI potentially will do even more. From there, he will explore the fundamentals of programming and neurons, what is known about how your brain works to solve problems, and the how, why, when, and how dangerous of AGI.

August 19th:

  • Workshop: Introduction to Brain Simulator

August 21st, General Public Day

  • Keynote: Creativity and AGI – Charles Simon

August 22nd:

  • Paper Presentation: Man Vs. Machine: Machine Learning Is Not Like Your Brain – Robbie Robinson
  • Paper Presentation: A Biologically Plausible Graph Structure for AGI – Robbie Robinson

About the Conference

To understand the meaning and importance of the AGI conference series, recall that the original goal of the AI field, when it was founded in the  middle of the previous century, was the construction of “thinking machines” –  computer systems with human-like general intelligence. Due to the difficulty of this task, for the last few decades the majority of AI researchers have focused on what has been called “narrow AI” – the production of AI systems displaying intelligence regarding specific, highly constrained tasks.

In recent years, however, more and more researchers have recognized the necessity – and feasibility – of returning to the original goals of the field by treating intelligence as a whole. Increasingly, there is a call for a transition back to confronting the more difficult issues of “human-level intelligence” and more broadly artificial general intelligence. AGI research differs from the ordinary AI research by stressing on the versatility and wholeness of intelligence, and by carrying out the engineering practice according to an outline of a system comparable to the human mind in a certain sense.

The AGI conference series has played, and continues to play, a significant role in this resurgence of research on artificial intelligence in the deeper, original sense of the term of “artificial intelligence”. The conferences encourage interdisciplinary research based on different understandings of intelligence, and exploring different approaches.   As the  AI field becomes increasingly commercialized and well accepted, maintaining and emphasizing a coherent focus on the AGI goals at the heart of the field remains more critical than ever.