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This is a journey to explore the latest innovations in AI and, most importantly, its human element, to ultimately answer the controversial questions: What physical human characteristics and emotions must a robot have to make people react to it? And, obversely, Can AI recognize human emotions?

Leadership and behavioural economics - McKinsey article

"Thinking, Fast and Slow is a 2011 book by Nobel Prize winner in Economics Daniel Kahneman which summarizes research that he conducted over decades, often in collaboration with Amos Tversky.[1][2] It covers all three phases of his career: his early days working on cognitive bias, his work on prospect theory, and his later work on happiness. The book's central thesis is a dichotomy between two modes of thought: System 1 is fast, instinctive and emotional; System 2 is slower, more deliberative, and more logical. The book delineates cognitive biases associated with each type of thinking, starting with Kahneman's own research on loss aversion. From framing choices to substitution, the book highlights several decades of academic research to suggest that we place too much confidence in human judgment."

A great example of AI in action is on Wall Street, where traders and bankers are being slowly replaced with machines. Wall Street is now a lot more sedate and well behaved. Investment decisions and trades are based on algorithms, statistics and trends, rather than prevailing human emotion or gut instinct. Is this is a good thing or bad?

Recommended by Luc Glasbeek at the 2014 Autumn workshop

" link through Knwoledge Borard to article written by Richard McDermott and Carla O'Dell in 2001, contains some really useful insights"

"From an excerpt form a recent book by Chip Heath "