Conventional algorithmic fairness is West-centric, as seen in its subgroups, values, and
methods. In this paper, we de-center algorithmic fairness and analyse AI power in India …

COVID-19 has revealed limitations of existing mechanisms for rationing medical resources
under emergency scenarios. Many argue that these mechanisms abandon various ethical …

Implicit bias is the unconscious attribution of particular qualities (or lack thereof) to a member
from a particular social group (eg, defined by gender or race). Studies on implicit bias have …

Biases with respect to socially-salient attributes of individuals have been well documented in
evaluation processes used in settings such as admissions and hiring. We view such an …

In selection processes such as hiring, promotion, and college admissions, implicit bias
toward socially-salient attributes such as race, gender, or sexual orientation of candidates is …

We study a school choice problem under affirmative action policies where authorities
reserve a certain fraction of the slots at each school for specific student groups, and where …

India has been enforcing comprehensive affirmative action since 1950. In the allocation of
government jobs and admissions to public universities, the affirmative action program has …

Admission to universities is organised in a centralised scheme in Hungary. In this paper we
investigate two major specialities of this application: ties and common quotas. A tie occur …

In the wake of the Covid-19 pandemic, the rationing of medical resources has become a
critical issue. Nearly all existing triage protocols are based on a priority point system, in …

In this paper we present the design and implementation of a new system to solve the
Chilean college admissions problem. We develop an algorithm that obtains all …