CascadiaPrime Cognition

A 21st Century Lens on Artificial Intelligence

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CascadiaPrime Cognition - Philosophy


The study of artificial intelligence is inherently interdisciplinary. Philosophy provides useful insights. And there are moral issues and understandings to impart to our artificial intelligence platforms.

Courtesy of Chat GPT: "Philosophy offers the field of artificial intelligence (AI) several useful insights. It can help in defining the fundamental concepts of AI, such as intelligence, cognition, and consciousness, and exploring the ethical and moral implications of developing and using AI systems. Philosophical theories of mind, epistemology, and metaphysics can also provide a conceptual framework for understanding AI systems and their limitations. Additionally, philosophical analysis can help in developing more transparent and accountable AI systems by addressing questions of bias, fairness, and explainability.

    
  David Chalmers: Design for the Real World (May 31,2022)
  
  Curious About Consciousness? Ask the Self-Aware Machines (July 11, 2019)
  
  Stanford Encyclopedia of Philosophy: Levels of Organization in Biology ( February 5, 2018 )
  
  Monica Anderson: at the level of Epistemology - why AI works (2017)
  
  The real problem It looks like scientist and philosophers might have made consciousness far more mysterious than it needs to be ( 2016)
  
  arxiv: PHILOSOPHY IN THE FACE OF ARTIFICIAL INTELLIGENCE* (May 19, 2016)
  
  Philosophy and Theory of Artificial Intelligence - Future of Humanity Institute Oxford (2013)
  
  BBC Radio interview by Jim Al-Khalili with Maggie Boden Research Professor of Cognitive Science at the University of Sussex (October 2014)
  
  David J. Chalmers - The Singularity: A Philosophical Analysis
  
  John Searle: "Consciousness in Artificial Intelligence" | Talks at Google (December 2015)
  
  John Searle - Minds, Brains and Computers
  
  Hubert Dreyfus - Wiki - Dreyfus' criticism of AI
  
  Hubert Dreyfus talks about Merleau-Ponty and Heidegger in relation to Artificial Intelligence and the Internet
  
  Monica Anderson - Critical thoughts on the frame problem
  
  Walter Pitts: The Man Who Tried to Redeem the World with Logic
  
  Stuart Russell: Robots might not need rights, but they'll need to know right and wrong (September 2015)
  
  Judea Pearl, Causality: Models, Reasoning, and Inference (1995) The Art and Science of Cause and Effect
  
  Judea Pearl Homepage - Causality - UCLA Computer Science Department Cognitive Systems Lab
  
  Ray Kurzweil Debates David Gelernter on Machine Consciousness (November 2006)
  
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