Introduction.- Type of Singularity.- Theories of the future.- A New Kind of Intelligence.- Limits in understanding AI.- The Energy Singularity.- What Could The Singularity Be?.- The Methuselarity.- Nature and Timing of the Singularity.- Transhumanism and Posthumanism.- The Technology of the Singularity.- Embodied and distributed cognition.- Singularity Architectures.- Quantum Computing as a mechanism for human intelligence.- An ambient singularity.- The Singularity - More Than Technology.- Transhuman ethics.- Communication with Super-Intelligence.- The Singularity morality.- The Singularity business.- Leon - Emotional or rational beings?.- Psychoanalysis post singularity.- Would Super-AIs be Conscious? Ethical? Social?.
Victor Callaghan is Professor of Computer Science at the University of Essex where he founded the Robotics and Intelligent Environments research groups, publishing over 300 related articles. He is president of the Association for the Advancement of Intelligent Environments, director the Creative Science Foundation and a founding board member of Sapience, organizations which all study the impact of artificial intelligence on our futures.
James D. Miller is Associate Professor of Economics at Smith College. He has a Ph.D. in Economics from the University of Chicago and a law degree from Stanford. The author of the books Singularity Rising and Game Theory at Work, he is interested in how increases in human and artificial intelligences will influence the economy.
Roman V. Yampolskiy is a Tenured Associate Professor in the department of Computer Engineering and Computer Science at the University of Louisville. He is the founding and current director of the Cyber Security Lab and an author of many books including Artificial Superintelligence: a Futuristic Approach. Dr. Yampolskiy's main areas of interest are Artificial Intelligence Safety and Cybersecurity
Stuart Armstrong is, an Alexander Tamas research fellow at the Future of Humanity Institute, works on formal decision theory, general existential risk, the risks and possibilities of Artificial Intelligence (AI), how AIs can learn humane values, assessing expertise and predictions, and anthropic (self-locating) probability. His booklet "Smarter than Us: the rise of machine intelligence" lays out some the challenges in this area.