Navigating the Ethical Landscape: Addressing Challenges and Embracing Responsible Practices in AI Development.

EasyChair Preprint 11953

Abstract

The rapid advancement of artificial intelligence (AI) has brought about unprecedented opportunities and challenges, necessitating a comprehensive examination of the ethical landscape surrounding its development. The title, "Navigating the Ethical Landscape: Addressing Challenges and Embracing Responsible Practices in AI Development," encapsulates the overarching theme of this discussion. In this abstract, we delve into the key aspects that underscore the importance of ethical considerations and responsible practices in the field of AI. AI technologies are increasingly integrated into various aspects of our daily lives, ranging from healthcare and finance to education and transportation. As these systems become more pervasive, concerns about privacy, bias, and accountability have come to the forefront. The ethical landscape is complex, and it demands a nuanced approach to ensure the responsible development and deployment of AI. One critical challenge lies in mitigating biases embedded in AI algorithms. Machine learning models are trained on vast datasets that may inadvertently reflect societal biases. This results in algorithms that perpetuate and potentially amplify existing prejudices, raising ethical concerns.

Keyphrases: AI lifecycle, Ethical, Ethical AI, Responsible AI development, algorithmic transparency, bias mitigation, dataset curation, guidelines, privacy preservation, societal impact, stakeholder collaboration

@booklet{EasyChair:11953,
  author    = {William Jack and Achira Sad},
  title     = {Navigating the Ethical Landscape: Addressing Challenges and Embracing Responsible Practices in AI Development.},
  howpublished = {EasyChair Preprint 11953},
  year      = {EasyChair, 2024}}