How to create a better AI
How can we create a better artificial intelligence? By being aware of the flaws in the data, theories and objectives we are using to build current AIs…
Is the use of AI dehumanising behaviour?
Is the use of machines to evaluate and predict human behaviour a de-humanising act? Should a birth-to-death record of our actions be used in judgement throughout life? How about through generations…?
Machine and Deep Learning Limits
If decisions are to be delegated to artificially intelligent machines, we need to appreciate the limits of intelligence without cognition
How sensor data gets smart
Talk delivered at The Things Conference. Discussing the good, the bad, the ugly and the beautiful ways in which data traces from digitised physical interactions can be converted into actionable insights…
Digitally sensing people-place interactions
Introducing recent research and development in urban cognitive analytics to sense population dynamics and people-place interactions
Do not trust cognitive algorithms
Algorithms based on training data will incorporate any biases in that training data, including not accounting for the missing data
Forecasting the 2017 UK general election
Demonstrating a data-driven model to forecast election behaviour, reallocating votes between parties per constituency seat
