America's first law regulating AI bias in hiring takes effect this week

While the law aims for transparency, critics say it may not be enough to protect against AI bias

Can an Algorithm be Wrong?

Author(s): Gillespie, Tarleton | Abstract: How do we know if we are where it’s at? Tarleton Gillespie explores the controversy over Twitter Trends and the algorithmic ‘censorship’ of #occupywallstreet.

Project MUSE - Racist in the Machine: The Disturbing Implications of Algorithmic Bias

Positive algorithmic bias cannot stop fragmentation in homophilic networks

Fragmentation, echo chambers, and their amelioration in social networks have been a growing concern in the academic and non-academic world. This paper shows how, under the assumption of homophily, echo chambers and fragmentation are system-immanent phenomena of highly flexible social networks, even under ideal conditions for heterogeneity. We achieve this by finding an analytical, network-based solution to the Schelling model and by proving that weak ties do not hinder the process. Furthermore, we derive that no level of positive algorithmic bias in the form of rewiring is capable of preventing fragmentation and its effect on reducing the fragmentation speed is negligible.

Algorithmic bias - Wikipedia