This reveals another problem with the doppelgänger
Posted: Sat Feb 08, 2025 3:12 am
Furthermore, consider a very recent study by Anastasia Kozyreva and colleagues. In their survey of user attitudes to personalisation algorithms (e.g. targeted advertising), users were generally accepting of these algorithms for services such as shopping or entertainment.
However, personalisation was not welcome in areas considered in the public domain, such as political advertising.
And if you will allow me some self-promotion myanmar rcs data briefly, in a paper I have under review, I have speculated that personalisation may be acceptable in individual-level decisions, but unacceptable when multiple people are involved in decision-makin they are always individuals.
But humans aren’t just individuals – we shape and are shaped by each other. Indeed, academics would call the problems I’ve described (those of social bias and social concern) social intelligence, a kind of intelligence which is (in my opinion) frequently missing from discussions of data-driven technologies such as machine learning and AI.
However, personalisation was not welcome in areas considered in the public domain, such as political advertising.
And if you will allow me some self-promotion myanmar rcs data briefly, in a paper I have under review, I have speculated that personalisation may be acceptable in individual-level decisions, but unacceptable when multiple people are involved in decision-makin they are always individuals.
But humans aren’t just individuals – we shape and are shaped by each other. Indeed, academics would call the problems I’ve described (those of social bias and social concern) social intelligence, a kind of intelligence which is (in my opinion) frequently missing from discussions of data-driven technologies such as machine learning and AI.