Franco Turini
Biographic Data
| ID | 10712318 |
|---|---|
| NAME | Franco Turini |
| GIVEN NAMES | Franco |
| FAMILY NAME | Turini |
| SIGNATURE | TURINI F |
| AFFILIATIONS | University of Pisa |
| ORCID | 0000-0001-6789-5476 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Bias in data‐driven artificial intelligence systems—An introductory survey
Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing concerns about potential human rights issues. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in their design, training, and deploym…
A Survey of Methods for Explaining Black Box Models
In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of explanation constitutes both a practical and an ethical issue. The literature reports many approaches aimed at overcoming this crucial weakness, sometimes at the cost of sacrificing accuracy for interpretability. The applications in which black box decision systems can be used ar…
No prominent works on this page.
A Survey of Methods for Explaining Black Box Models
In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of explanation constitutes both a practical and an ethical issue. The literature reports many approaches aimed at overcoming this crucial weakness, sometimes at the cost of sacrificing accuracy for interpretability. The applications in which black box decision systems can be used ar…
Bias in data‐driven artificial intelligence systems—An introductory survey
Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing concerns about potential human rights issues. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in their design, training, and deploym…
Artificial Intelligence (2 works) · Computer Science (2 works) · Data science (2 works) · Explainable Artificial Intelligence (XAI (2 works) · Adversarial Robustness in Machine Learning (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Big data (1 works) · Black box (1 works) · Data mining (1 works) · Engineering (1 works)