Ethical Considerations in Artificial Intelligence

EasyChair Preprint 12568

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize various aspects of society. However, as AI becomes increasingly pervasive, it raises important ethical considerations that must be addressed. This abstract provides an overview of the key ethical considerations associated with AI, highlighting the need for responsible development, deployment, and governance of AI systems.

Firstly, the ethical implications of AI revolve around issues such as fairness, transparency, and accountability. AI algorithms can inadvertently perpetuate biases present in training data, leading to discriminatory outcomes in areas such as hiring, lending, and criminal justice. Ensuring fairness in AI systems requires careful design, unbiased data collection, and continuous monitoring to mitigate and rectify any biases that may arise.

Secondly, transparency and explainability are critical factors for ethical AI. The lack of interpretability in some AI models poses challenges in understanding the rationale behind their decisions, particularly in high-stakes domains like healthcare and autonomous vehicles. Establishing mechanisms to provide explanations and justifications for AI outcomes is essential for building trust and accountability.

Keyphrases: Artificial, computing, intelligence

@booklet{EasyChair:12568,
  author    = {Favour Olaoye and Kaledio Potter},
  title     = {Ethical Considerations in Artificial Intelligence},
  howpublished = {EasyChair Preprint 12568},
  year      = {EasyChair, 2024}}