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Algorithm 2022

Feb. 10 - 12

Dallas

Speaker

Speaker: Robert Marks

Robert Marks

Prof Robert Marks

Director, Walter Bradley Center for Natural & AI

Prof Robert J. Marks is the Director of the Walter Bradley Center for Natural and Artificial Intelligence; a Distinguished Professor of Electrical and Computer Engineering, Baylor; and a Fellow of both IEEE and the Optical Society of America. Marks served as editor-in-chief for the IEEE Transactions on Neural Networks.

 

His research has been supported/funded by the Army Research Lab, the Office of Naval Research, the Naval Surface Warfare Center, the Army Research Office, NASA, JPL, NIH, NSF, Raytheon, and Boeing. And he has consulted for Microsoft and DARPA.

 

He is co-author of Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks, Introduction to Evolutionary Informatics, and the author of The Case for Killer Robots: Why America’s Military Needs to Continue Development of Lethal AI. His keynote will touch on this subject of the military and lethal AI.

Keynote: Non-algorithmic You: Why AI will never be sentient, creative or understand

No matter how fast computers compute, the Church-Turing thesis dictates certain AI limitations of yesterday and today will apply tomorrow. This includes quantum computing. Alan Turing showed there existed problems unsolvable by computers because the problems were nonalgorithmic.

 

Sentience, creativity and understanding are human properties that appear to be nonalgorithmic. The sentient property of qualia is possibly the most obvious example of uncomputability.

The inability of computers to understand is nicely explained through the allegory of Searle’s Chinese Room. And for AI to be creative, it must pass the Lovelace test proposed by Selmer Bringsjord. No AI has yet passed the Lovelace test.

 

With an understanding of the limitations of AI, we can soberly address use of AI in potentially lethal applications like autonomous military weapons.

My book

Does the US military have an obligation to develop weapons systems with AI capabilities? That’s a question that I explore in The Case for Killer Robots: Why America’s Military Needs to Continue Development of Lethal AI.

 

It’s a nice book that makes for a fascinating read. You can already download a free, digital copy, but all conference attendees will receive a physical copy of the book.

The Case for Killer Robots
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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