Radanliev Petar, Santos Omar, Brandon-Jones Alistair, Joinson Adam
Department of Computer Sciences, University of Oxford, Oxford, United Kingdom.
School of Management, University of Bath, Bath, United Kingdom.
Front Artif Intell. 2024 Mar 27;7:1377011. doi: 10.3389/frai.2024.1377011. eCollection 2024.
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.
随着人工智能(AI)变得越来越普遍,保护个人隐私是一个必须解决的关键伦理问题。本文探讨了对符合伦理标准的同时保护个人隐私的伦理人工智能系统的需求。通过采用多学科方法,该研究考察了诸如差分隐私、同态加密、联邦学习等创新算法技术、国际监管框架和伦理准则。研究得出结论,这些算法在平衡人工智能的效用与保护个人数据需求的同时,有效地增强了隐私保护。本文强调了一种综合方法的重要性,该方法将技术创新与伦理和监管策略相结合,以一种尊重和保护个人隐私的方式利用人工智能的力量。