Digital computers originally called automatic computers
Do we think of such a computer as intelligent?
Are we close to creating intelligence?
Current technology is a long way from emulating all aspects of human intelligence: there are a number of technological breakthroughs that remain before we crack the fundamental nature of human intelligence.
More controversially, I believe that there are aspects of human intelligence that we will never be able to emulate, a preserve that remains uniquely ours.
The Promise of AI
Automation forces humans to adapt, we serve.
We can only automate by systemizing and controlling environment.
AI promises to be first wave of automation that adapts to us rather than us to it.
That Promise …
… will remain unfulfilled with current systems design.
Five AI Myths
AI will be the first wave of automation that adapts to us.
Hearsay data has significant value.
The big tech companies have the landscape all ‘sewn up’
‘data scientists’ will come and solve all problems.
It used to be true that computers only did what we programmed them to do, but today AI systems are learning from our data. This introduces new problems in how these systems respond to their environment.
We need to better monitor how data is influencing decision making and take corrective action as required.
Scale safe and reliable AI solutions.
Move from Auto ML to Auto AI
Bayesian Optimisation to Bayesian System Optimisation
With road accidents set to match HIV/AIDS as the highest cause of death in low/middle income countries by 2030, SafeBoda’s aim is to modernise informal transportation and ensure safe access to mobility.