Abstract The public sphere has experienced yet another structural transformation. Firms like Facebook and Google have largely automated the types of decisions made by managers at television networks, or editors at newspapers — but with much more powerful effects. Long critiqued in academic circles, the manifest inadequacy of this new media landscape is now itself a matter of public debate. The deficiencies of the automated public sphere are so manifest that consumer protection and media regulatory authoriti
After popularizing sensational headlines and taking your news feed by storm, Upworthy seemingly fell off a cliff. Its story reveals just as much about Facebook as it does about why we click.
Journalism That Stands Apart The Report of the 2020 Group
If we now demand that algorithms have to be made better in this applied sense, we only demand that the program that was built into them should work better. But this program is not just harmless efficiency, the definition of the problems and the possible solutions almost always corresponds to a neo-liberal world view. By this I mean three things: First, the society is individualized. Everything is attributed to individual, specifiable persons separated by their differences from one another and action means first and foremost individual action. Second, the individuals so identified are placed in a competing relationship with one another, through all sorts of rankings on which one’s own position relative to that of others can rise or fall. And, third, the group or the collective – which expresses the consciousness of its members as related to one another – is replaced by the aggregate, which is essentially formed without the knowledge of the actors. Either because it is supposed to emerge spontaneously, as Friedrich von Hayek thought it, or because it is constructed behind the backs of the people in the closed depths of the data centers. Visible to a few actors only.
If the goal is for the two groups to receive the same number of loans, then a natural criterion is demographic parity, where the bank uses loan thresholds that yield the same fraction of loans to each group. Or, as a computer scientist might put it, the “positive rate” is the same across both groups.In some contexts, this might be the right goal. In the situation in the diagram, though, there’s still something problematic: a demographic parity constraint only looks at loans given, not rates at which loa
I’ll be speaking about the book I wrote called Weapons of Math Destruction. It talks about how algorithms can be used against people, and how it’s having a destructive effect on equality and democracy. It’s exacerbating inequality. We’re using algorithms to reward rich people and prey on poor people. Is there a way out of this situation we’re in? Sure. I don’t think it’s inherent for algorithms to be like that. In fact, I don’t think it’s entirely like that. But I think that there’s a danger that we’re b
But we will not see computers acquire minds anytime soon, and in the meantime we will end up accommodating the formalist methodologies of computer algorithms. The problem is one of ambiguity as much as nonneutrality. A reductive ontology of the world emerges, containing aspects both obvious and dubious.
What is algorithmic fairness and why is it important?This site serves to collect articles and research that will help to answer these questions.Our own take on the research questions behind these issues can be found in this paper. More research is collected at fatml.org.
A lot of research has been carried out around using data analysis to identify different aspects of online behavior. Before I detail some of it below, I should add a note of caution: all analytics are only as good as how they are utilized in decision making by end users.The complex interplay between computational tools and human actors in sociotechnical systems (such as online communities) means that great technology and analytics can still fall flat if the community policies aren’t “right”. Engagement e