Ethical Frameworks and Guidelines for AI Integration in Software Development Life Cycle

EasyChair Preprint no. 12601

Abstract

As Artificial Intelligence (AI) becomes increasingly pervasive in software development, ethical considerations play a crucial role in ensuring responsible and beneficial deployment. This research paper investigates the ethical frameworks and guidelines necessary for the integration of AI throughout the Software Development Life Cycle (SDLC). Through a comprehensive review of existing literature, case studies, and industry best practices, this paper explores the ethical challenges posed by AI integration and proposes guidelines to address them. By examining principles such as transparency, fairness, accountability, and privacy, this paper aims to provide a roadmap for developers and organizations to navigate the ethical complexities of AI integration in the SDLC.

Keyphrases: Artificial Intelligence, ethical frameworks, guidelines, Software Development Life Cycle, transparency

@Booklet{EasyChair:12601,
  author = {Jane Smith and Jianjum Tian},
  title = {Ethical Frameworks and Guidelines for AI Integration in Software Development Life Cycle},
  howpublished = {EasyChair Preprint no. 12601},

  year = {EasyChair, 2024}}