Alicia de Manuel
Biographic Data
| ID | 8575079 |
|---|---|
| NAME | Alicia de Manuel |
| GIVEN NAMES | Alicia |
| FAMILY NAME | de Manuel |
| SIGNATURE | DE MANUEL A |
| AFFILIATIONS | Universitat Autonòma de Barcelona |
| ORCID | 0000-0003-3195-9970 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Ethical assessments and mitigation strategies for biases in AI-systems used during the Covid-19 pandemic
The main aim of this article is to reflect on the impact of biases related to artificial intelligence (AI) systems developed to tackle issues arising from the COVID-19 pandemic, with special focus on those developed for triage and risk prediction. A secondary aim is to review assessment tools that have been developed to prevent biases in AI systems. In addition, we provide a conceptual clarification for some terms related to biases in this partic…
Embodiment and Social Distancing
A collection of five video essays on embodiment and social distancing, with a focus on projects. ANNIE ABRAHAMS AND DANIEL PINHEIRO, “Why is the use of videoconferencing so exhausting? An analysis on the demands” (00:10): Video footage from Distant Feeling(s) project run by Annie Abrahams & Daniel Pinheiro, a yearly reconnection, eyes closed, no talking. MAURICIO CARRASCO AND DANIEL ZEA, “Vortex Decameron: Building narratologies in pandemic times…
No prominent works on this page.
Embodiment and Social Distancing
A collection of five video essays on embodiment and social distancing, with a focus on projects. ANNIE ABRAHAMS AND DANIEL PINHEIRO, “Why is the use of videoconferencing so exhausting? An analysis on the demands” (00:10): Video footage from Distant Feeling(s) project run by Annie Abrahams & Daniel Pinheiro, a yearly reconnection, eyes closed, no talking. MAURICIO CARRASCO AND DANIEL ZEA, “Vortex Decameron: Building narratologies in pandemic times…
Ethical assessments and mitigation strategies for biases in AI-systems used during the Covid-19 pandemic
The main aim of this article is to reflect on the impact of biases related to artificial intelligence (AI) systems developed to tackle issues arising from the COVID-19 pandemic, with special focus on those developed for triage and risk prediction. A secondary aim is to review assessment tools that have been developed to prevent biases in AI systems. In addition, we provide a conceptual clarification for some terms related to biases in this partic…
Medicine (2 works) · Psychology (2 works) · Sociology (2 works) · 2019-20 coronavirus outbreak (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Business (1 work) · Computer Science (1 work) · Data science (1 work) · Digital Games and Media (1 work) · Distancing (1 work)