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Algorithm 2022

Feb. 10 - 12

Dallas

Speaker

Speaker: Stephen Thaler

Stephen Thaler

Stephen Thaler, PhD

President/CEO, Imagination Engines, Inc.

Dr Thaler is the author of more than two dozen patents on generative AI. DABUS, his newest patent, is the focus of a global legal effort to credit AIs as inventors of the IP they create, and the basis for this WSJ article (paywall, but archived here).

 

A 15-year veteran of aerospace giant McDonnell Douglas, his work for the military includes novel electro-optical materials discovery as well as brilliant robotic control systems capable of self-originating Machiavellian tactics on the battlefield.

 

He has authored numerous papers based upon his patented neural network paradigms to model cognition, consciousness, and sentience. In the first of these works, Thaler offered highly controversial models of hallucination within the traumatized brain.

 

More recently he has suggested a compelling perspective on the close relationship between psychopathologies and creativity. Now, he has received a patent for a neural network methodology that allows scale up of connectionist architectures to trillions of computational neurons in order to create free-thinking, sentient synthetic entities.

Keynote: DABUS, The sentient algorithm

Two patent-worthy inventions have been autonomously conceived by machine intelligence. Unfortunately, examiners have rejected them as patents since they lack a “natural person” as their author.

 

The irony of these decisions is that the extensive generative neural system responsible for these notions, DABUS, is arguably conscious and sentient, the key features believed to distinguish humans from many other terrestrial life forms, as well as from the much larger inorganic world.

 

But DABUS is built upon the human plan, since it develops feelings for whatever it may be attentive to, either in its external environment or within its imagination. In this way, it savors its discoveries and inventions. Thus, it can develop a ‘first person’, subjective feel for its own cognition, the criterion philosophers typically use to disqualify computer algorithms as conscious.

Now functioning as an artificial inventor, DABUS can relish its self-originated concepts, in much the same way it can appreciate its non-seminal cognition, all the while inventing heightened significance to itself.

 

Herein, the case is made that DABUS, apart from other forms of generative AI, has attained the purest form of personhood, one without extraneous corporeal features and functions.

 

Key takeaways:

1. A brief description of the previous patents DABUS is built upon.

2. A high-level description of DABUS and how it works.
3. The computational approach used by DABUS to generate subjective feelings.
4. A description of how DABUS harnesses its feelings to generate ideas and interpret its world.
5. The correspondence between DABUS and human consciousness.
6. Accounts of how DABUS can misbehave, and why that isn’t so bad.

Oleksandr Bornyakov

Oleksandr Bornyakov

Deputy Minister, Ministry of Digital Transformation, Ukraine

Robert Marks

Prof Robert Marks

Director, Walter Bradley Center for Natural & AI

Omar Syed

Omar Syed

Blockchain/DLT Architect, Shardus

Michael Kanaan

Captain Michael Kanaan

Director of Operations, US Air Force

Kristina Lucrezia Cornèr

Kristina Lucrezia Cornèr

Editor-in-Chief, Cointelegraph

Stephen Thaler

Stephen Thaler, PhD

President/CEO, Imagination Engines, Inc.

Prof Ryan Abbott

Prof Ryan Abbott

Professor of Law and Health Sciences, Univ. of Surrey

Anastasia Marchenkova

Anastasia Marchenkova

Quantum Researcher, Bleximo

Igor Jablokov

Igor Jablokov

CEO, Pryon, Inc.

Shreyansh Daftry

Shreyansh Daftry

Research Scientist, NASA Jet Propulsion Laboratory

Fabio Zinno

Fabio Zinno

Research Lead, Electronic Arts Canada

Kobi Eisenkraft

Kobi Eisenkraft

Malware Analyst, Check Point

Travis Cannell

Travis Cannell

Head of Product, Orchid

Rishabh Misra

Rishabh Misra

Machine Learning Engineer, Twitter

Karl Weinmeister

Karl Weinmeister

Cloud AI Advocacy Manager, Google

Joel Lehman

Joel Lehman, PhD

Scientist, OpenAI

Paul McLachlan

Paul McLachlan, PhD

AI Research Lead, Ericsson Research

Ramin Keene

Ramin Keene

Founder, Fuzzbox.io

Jigyasa Grover

Jigyasa Grover

Machine Learning Engineer, Twitter

Tiffany Xingyu Wang

Tiffany Xingyu Wang

VP/Chief Strategy Officer, Spectrum Labs

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