Authors: Daria Korobenko, Anastasija Nikiforova, Rajesh Sharma

Published on: March 13, 2024

Impact Score: 8.0

Arxiv code: Arxiv:2403.08624

Summary

• What is new: This study is among the first to present a systematic literature review focused on establishing a unified definition for AI Ethics, particularly in privacy and security, leading to the creation of a new conceptual framework.
• Why this is important: The challenge in adapting to the rapidly evolving AI landscape, especially in terms of privacy and security, due to a lack of unified tools for evaluating AI systems.
• What the research proposes: A conceptual framework tailored for privacy- and security-aware AI systems, designed to aid various stakeholders in the ethical development and assessment of AI systems.
• Results: The proposed framework provides a comprehensive guide for ethical decision-making in AI development, highlighting key issues in privacy and security and suggesting avenues for future research.

Technical Details

Technological frameworks used: Systematic Literature Review (SLR)

Models used: Conceptual Framework for AI Ethics in Privacy and Security

Data used: Literature from 2020 to 2023

Potential Impact

Organizations, academic institutions, and governmental bodies involved in AI development and regulation could be significantly influenced, necessitating adaptation to incorporate ethical considerations in privacy and security.

Want to implement this idea in a business?

We have generated a startup concept here: EthicAI Frameworks.