AI MUST READS — W35 2018, by City AI
Artificial Intelligence, Machine Learning and related fields are in a constant state of change. We want to inform but also encourage discussions on well presented topics we think are necessary in the context of putting AI into production. Every week we’re picking applied AI’s best articles plus adding a discussion starter
1. Auckland researchers make world-first discovery into artificial intelligence
Author — Bernard Orsman (Follow on Twitter) via The New Zealand Herald
Whilst perhaps this is slightly misleading, indicating that this Artificial Intelligence application is perhaps able to predict the future in the sense of anticipating the decision a person will make, whereas more accurately the algorithm is able to realize the choice the subject has made before the subject is consciously aware that they have made it.
“We know that only 10 per cent of people’s decisions are intentionally made, the other 90 per cent are made subconsciously by the brain based on previous experiences, history, genetics and other factors”
In fact the ability to realize a person’s unconscious decisions isn’t new, some years ago we were able to identify a pattern within brain activity up to 30 seconds before a subject made a mistake thus allowing some small form of prediction.
What could be considered more ‘exciting’ is in fact the use spiking neural networks successfully, its another step closer to a completely accurate artificial neural network.
2. Algorithms may outperform doctors, but they’re no healthcare panacea
Author — Ivana Bartoletti via The Guardian
In a similar vein to what I said last week after yet another announcement about an Artificial Intelligence system out performing doctors, Ivana Bartoletti has called into question the way in which we seem to be racing towards an algorithm led healthcare system. At the current stage we stand with Artificial Intelligence we need to careful with the implementations that we are looking at.
Two examples are worth focusing on in particular: the way in which changing approaches to medical knowledge could affect the doctor-patient relationship, and the ethics of how patients’ data gets used.
Whilst it could be argued that we are being overly cautious with data protection because of the unsure nature that we currently stand in with this new technology, at this point in time its better to be safe than sorry. We should have learnt from past mistakes with technology and begin a proactive approach before we need to fix mistakes.
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