Mayra Russo
Biographic Data
| ID | 9700855 |
|---|---|
| NAME | Mayra Russo |
| GIVEN NAMES | Mayra |
| FAMILY NAME | Russo |
| SIGNATURE | RUSSO M |
| AFFILIATIONS | Leibniz University Hannover |
| ORCID | 0000-0001-7080-6331 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Policy advice and best practices on bias and fairness in AI
The literature addressing bias and fairness in AI models ( fair-AI ) is growing at a fast pace, making it difficult for novel researchers and practitioners to have a bird’s-eye view picture of the field. In particular, many policy initiatives, standards, and best practices in fair-AI have been proposed for setting principles, procedures, and knowledge bases to guide and operationalize the management of bias and fairness. The first objective of th…
Intervención social-digital
Este documento pretende ser una aproximación a cómo la digitalización puede modificar la intervención social debido a los recientes desarrollos en la inteligencia artificial. El objeto de investigación se centra en el marco de los servicios sociales, y en concreto en la figura del Trabajo Social, sin embargo, los hallazgos encontrados son generalizables a cualquier disciplina que opere en la intervención social (Psicología Social, Educadores Soci…
No prominent works on this page.
Intervención social-digital
Este documento pretende ser una aproximación a cómo la digitalización puede modificar la intervención social debido a los recientes desarrollos en la inteligencia artificial. El objeto de investigación se centra en el marco de los servicios sociales, y en concreto en la figura del Trabajo Social, sin embargo, los hallazgos encontrados son generalizables a cualquier disciplina que opere en la intervención social (Psicología Social, Educadores Soci…
Policy advice and best practices on bias and fairness in AI
The literature addressing bias and fairness in AI models ( fair-AI ) is growing at a fast pace, making it difficult for novel researchers and practitioners to have a bird’s-eye view picture of the field. In particular, many policy initiatives, standards, and best practices in fair-AI have been proposed for setting principles, procedures, and knowledge bases to guide and operationalize the management of bias and fairness. The first objective of th…
Political science (2 works) · Aging, Health, and Disability (1 work) · Best practice (1 work) · Blockchain Technology Applications and Security (1 work) · Business (1 work) · Cartography (1 work) · Computer Science (1 work) · Data science (1 work) · Ethics and Social Impacts of AI (1 work) · European union (1 work)