August 29, 2007

Barney Pell podcast with Dan Farber about the Singularity and AI

Yesterday I was interviewed in a podcast with Dan Farber about my upcoming talk at the Singularity Summit.

It's interesting and fun to have futurist conversations while working hard in a startup. Amidst the short-term pressures of bringing technology to market it is nice to engage in long-term musings about where this all might lead in 30 years. And it will be really fun to look back at these discussions 30 years from now and see who made the best predictions.

Here is Dan's summary of the interview:

In this podcast interview, I talked with Pell about his views on AI and how the development of machines smarter than humans will play out in coming decades. We also discussed the underpinnings of Powerset as an example of technology and collective human intelligence applied to making a smarter search engine, and how natural language understanding is at an inflection point, moving out of the labs and into the world.

Pell said that AI entities will get smarter but also humans, via intelligence augmentation, will gain new capabilities. He suggested that two approaches will meet in the middle–bottom-up complete brain simulations, which develop like human children, and top-down engineered systems.

He provided a framework for thinking about how AIs might evolve, and thoughts about the risks in developing such advanced technologies. “We are going to have to just bite the bullet–because this is going to happen. I don’t think these will be technologies you will be able to control. I do think there is strong value in looking at what are architectural aspects that may or may not be the same as people that can really dispose these systems to be the kinds of systems you want to build and to look at training and development processes that socialize these systems in the right way,” Pell said.

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August 22, 2007

Barney speaking at the Singularity Summit

I am speaking at the upcoming The Singularity Summit
AI & the Future of Humanity
Sat-Sun, September 8th-9th
Palace of Fine Arts Theatre
3301 Lyon St, SF, CA 94123

I am speaking in the first session, on Pathways and Major Challenges to Advanced AI.

Here is my title and abstract:

Pathways to advanced general intelligence: Architecture, Development, and Funding

While there is broad consensus among the AI community that we will have artificial general intelligence (AGI) within the century, there is little discussion about the alternate technical and economic pathways that will bring this about. I present a framework for comparing different approaches, in which we view any intelligent behavior as a combination of architecture and
development, both of which can be characterized as more or less human-brain-like. Seen within this framework, one extreme strives for complete brain simulations that develop like human children. Another extreme strives for unconstrained engineered systems that acquire knowledge through diverse methods. I predict that the path to AGI will be based on a much richer interplay between these two extremes, in which top-down and bottom up approaches meet in the middle.

The hybrid development path combines the benefits of both technical extremes. It also supports applications that create incremental business advantage for incremental improvements in AGI capability, thus driving business competition that accelerates the science. These applications
include video games, virtual worlds, household robots, autonomous vehicles, search, and conversational interfaces.

I have actually been thinking about this particular topic on and off for a while. Despite believing for a long time that the most likely path to human-level AI was through very human-like systems, my professional work has tended to take heavy engineering approaches in which you focus on the required behavior (hopefully a general task) but then approach it using whatever engineering means you can. This has been true for autonomous agents, natural language processing systems, game playing programs, and search engines. Now I think the combination of human-inspired and powerfully-engineered approaches is more likely to be what really comes to pass. It will be fun to share and discuss this with folks at the Singularity Summit.

Here are a few provocative topics that may or may not wind up making it into my talk:

If you read these thoughts before the conference, please feel free to post comments or send me your thoughts.

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The Singularity Summit

The Singularity Summit
AI & the Future of Humanity
Sat-Sun, September 8th-9th
Palace of Fine Arts Theatre
3301 Lyon St, SF, CA 94123

I attended last year (along with Ron Kaplan, then at PARC and now Powerset's CTO) and really enjoyed the event.

This year, I am now an Advisor to the Singularity Institute for AI and I am happy to help promote the event. With keynote talks by Peter Norvig and Rod Brooks, and talks by lots of my friends and even a talk by me, it should be even more fun than last year!

The event is very affordably priced ($50!) and at a great location so everyone should be able to attend.


Continue reading "The Singularity Summit"

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April 8, 2006

robot fighting video

I really enjoyed this video of robots fighting. I think the natural and flexible motion demonstrated by the winning robot platform should lead to advances in autonomous humanoid robots (like Asimo) and entertainment robots (like Aibo). The fighting robots themselves would make great toys. Way better than the race car sets I used to play with as a kid.

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May 15, 2005

Ethical Artificial Intelligence

Psychologist John E. LaMuth has received a United States Patent (No. 6,587,846) concerning ethical artificial intelligence entitled: Inductive Inference Affective Language Analyzer Simulating Artificial Intelligence .

Describing his invention, LaMuth writes:

"this new breakthrough represents the world's first affective language analyzer encompassing ethical/motivational behaviors, providing a convincing simulation of ethical artificial intelligence. It enables a computer to reason and speak employing ethical parameters, an innovation based upon a primary complement of instinctual behavioral terms (rewards-leniency-appetite-aversion).

The framework is related to an emerging set of recent work on Emotions in AI. It also relates to other work coming out of psychology, including Ken Wilbur and the Enneagram.

Based on his analyis, he develops Ten Ethical Laws of Robotics . I've reprinted them here, as I find this really quite intriguing:

Continue reading "Ethical Artificial Intelligence"

Posted by barney at 4:25 PM | Comments (0) | TrackBack

January 1, 2005

Barney Pell's Research on Agents and Autonomy

Links to articles on the Remote Agent

Last updated Jan 21, 1997. Direct feedback to Barney Pell (pell@ptolemy.arc.nasa.gov)
- Barney D. P ell <pell@barney.arc.nasa.go v>, 11/4/96

Posted by barney at 9:32 PM | Comments (1)