Abstract
As Artificial Intelligence (AI) becomes more prevalent, protecting personal privacy is a critical ethical issue that must be addressed. This article explores the need for ethical AI systems that safeguard individual privacy while complying with ethical standards. By taking a multidisciplinary approach, the research examines innovative algorithmic techniques such as differential privacy, homomorphic encryption, federated learning, international regulatory frameworks, and ethical guidelines. The study concludes that these algorithms effectively enhance privacy protection while balancing the utility of AI with the need to protect personal data. The article emphasises the importance of a comprehensive approach that combines technological innovation with ethical and regulatory strategies to harness the power of AI in a way that respects and protects individual privacy.
| Original language | English |
|---|---|
| Article number | 1377011 |
| Journal | Frontiers in Artificial Intelligence |
| Volume | 7 |
| DOIs | |
| Publication status | Published - 27 Mar 2024 |
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work has been supported by the UK EPSRC under grant number EP/S035362/1 and by the ESRC under grant number: ES/V003666/1.
Keywords
- algorithmic ethics
- artificial intelligence
- data security
- ethical AI deployment
- federated learning
- homomorphic encryption
- privacy protection
ASJC Scopus subject areas
- Artificial Intelligence