From Artificial Intelligence Bias to Inequality in the Time of Covid-19
Bibliographic Data
| ID | 20364167 |
|---|---|
| Authors | Miguel Luengo-Oroz (0000-0002-8694-2001, United Nations), Joseph Bullock, Joseph Aylett-Bullock (0000-0001-7551-3423, Durham University), Katherine Hoffmann Pham (0000-0002-1022-6025, United Nations), Cynthia Sin Nga Lam (0000-0002-0585-7316, United Nations), Alexandra Luccioni, Alexandra Sasha Luccioni (0000-0001-6238-7050, Université de Montréal) |
| Year | 2021 |
| Volume | 40 |
| Issue | 1 |
| Pages | 71-79 |
| Publication date | 2021-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Technology and Society Magazine (JOURNAL) |
| Journal identifiers | ISSN: 0278-0097 • E-ISSN: 1937-416X |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/mts.2021.3056282 |
| OpenAlex | W3138994570 |
| Language | EN |
| Citations received | 6 |
| References cited | 25 |
As secretary general of the United Nations, Antonio Guterres said during the 2020 Nelson Mandela Annual Lecture, “COVID-19 has been likened to an X-ray, revealing fractures in the fragile skeleton of the societies we have built.” Without a doubt, the COVID-19 pandemic has exposed and exacerbated existing global inequalities. Whether at the local, national, or international scale, the gap between the privileged and the vulnerable is growing wider, resulting in a broad increase in inequality across all dimensions of society. The disease has strained health systems, social support programs, and the economy as a whole, drawing an ever-widening distinction between those with access to treatment, services, and job opportunities and those without. Global lockdown restrictions have led to increases in childcare and housework responsibilities, and most of the burden has fallen on women, further increasing existing gender inequality [1], [2]. Indigenous populations worldwide find themselves more vulnerable to infection, many times with less access to health services or hygiene measures and limited updated scientific information about the virus and measures that can be taken to mitigate it [3]. Inequality has also pervaded the education sector, with only a subset of students able to attend safe in-person schooling or access online education when needed
Demographic economics · Development economics · Disease · Economic growth · Economics · Indigenous · Inequality · Pandemic · Political science · Social inequality · COVID-19 and healthcare impacts · COVID-19 diagnosis using AI · COVID-19 epidemiological studies · Medicine
Thinking responsibly about responsible AI and ‘the dark side’ of AI
How AI use in organizations contributes to employee competitive advantage
The influence of the Covid-19 pandemic on the adoption and impact of AI ChatGPT
Opportunities and challenges of AI-systems in political decision-making contexts
Ethical assessments and mitigation strategies for biases in AI-systems used during the Covid-19 pandemic
Digital internal bordering
Covid‐19 and Indigenous Peoples
Is ethnicity linked to incidence or outcomes of covid-19?
The impact of ethnicity on clinical outcomes in Covid-19
Factors associated with Covid-19-related death using OpenSafely
Dissecting racial bias in an algorithm used to manage the health of populations
Anti-Asian Hate Crime During the Covid-19 Pandemic
Disinformation, Misinformation and Inequality-Driven Mistrust in the Time of Covid-19
Covid-19 and the case for global development
| Unique citing works | 6 |
|---|---|
| Citations per year | 1.5 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 6 |