Toward Trustworthy Artificial Intelligence: An Integrated Framework Approach Mitigating Threats
We present the Strategic Artificial Intelligence (AI) Threats Navigation matrix, an integrated approach to navigating AI threats and trustworthiness throughout the AI lifecycle. It aims to assist developers, data scientists, regulators, and users in addressing threats and bolstering AI’s reliability, encouraging an improvement of trustworthiness.
Authors
- Hong-Yen Chen (ORCID: https://orcid.org/0000-0001-5638-8030)
- Tsung-Nan Lin (ORCID: https://orcid.org/0000-0001-5659-1194)
- Teng-Kai Fan
- Kíng-Pîng Tēnn (ORCID: https://orcid.org/0009-0004-7342-9032)
- Yu-Wei Chang (ORCID: https://orcid.org/0000-0002-1735-4337)
Institutions
- National Taiwan University (TW)
- Chunghwa Telecom (Taiwan) (TW)
Publication Details
- Journal
- Computer
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1109/mc.2024.3400532
- Primary Topic
- Adversarial Robustness in Machine Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Council
- Chunghwa Telecom Laboratories