Human-Robot Interaction, the Future of Work & the Meaning of Life

Powerpoint presented Wednesday, July 29, 2015 at the Juniata Transhumanism Conference (Huntingdon, PA).

Structural unemployment, particularly unemployment caused by automation, is an exemplar of Rittel and Webber’s wicked social policy problems. Unfortunately, their beliefs that, in a pluralistic society:

  • there is nothing like the undisputable public good;
  • there is no objective definition of equity;
  • policies … cannot be meaningfully correct or false;
  • it makes no sense to talk about “optimal solutions”; and
  • even worse, there are no “solutions” in the sense of definitive and objective answers

predictably lead to humanity blundering from one sub-optimal partial solution to the next.  All of our wicked social policy problems will never be solved until we take a coherent systems engineering approach and stop trying to solve what are really sub-problems without knowing/defining our true goal(s) — The Meaning of Life.

(Yes, of course this features far more artificial intelligence than the abstract indicates :-) )

What Does It Mean To Create A Self?

Powerpoint presented Thursday, November 13, 2014 at the AAAI Fall 2014 Symposium FS14-07 on The Nature of Humans and Machines: A Multidisciplinary Discourse (Washington, DC).

The frame problem (McCarthy & Hayes, Dennett), the symbol grounding problem (Harnad) and the semantic grounding problem (Searle) all strongly indicate that we are not going to create an artificial intelligence until we create an artificial self. Of course, creating an artificial self immediately raises important safety and moral issues (while solving others). We outline an initial plan to safely and morally create the infrastructure for and the actuality of an artificial self.

Bootstrapping A Structured Self-Improving & Safe Autopoietic Self

Presentation Powerpoint * Proceedings PDF presented November 9, 2014 at the 2014 Annual International Conference on Biologically Inspired Cognitive Architectures (Boston, Massachusetts).

After nearly sixty years of failing to program artificial intelligence (AI), it is now time to grow it using an enactive approach instead. Critically, however, we need to ensure that it matures with a “moral sense” that will ensure the safety and well-being of the human race. Implementing consciousness and conscience is the next step the way towards creating safe and cooperative machine entities.