Abstract

This week we’re reading “Can Machines Read our Minds?” by Christopher Burr and Nello Cristianini. Read it here: https://research-information.bristol.ac.uk/files/189191752/10.1007_s11023_019_09497_4.pdf , https://link.springer.com/article/10.1007/s11023-019-09497-4

This paper reviews a number of studies which demonstrate the ability of machine learning (ML) algorithms to infer psychological traits and mental states after being trained on online behavioural samples such as those collected from social media APIs. The case studies examined provide examples of inferred emotion, personality traits, aptitude, skills and values (such as political orientation). This inferred knowledge has the potential to be used for: diagnosis, prediction, persuasion and the manipulation of behaviour. For instance, within industry this information is starting to be used to further business sales through the use of tailored persuasive messages. This technology has obvious financial incentives for companies, but these incentives may not line up with the individual. Therefore it is important to discuss the ethical Issues that arise such as consent and privacy.