Beyond the Code: Ensuring Ethical AI Development

Abstract

This article outlines essential ethical considerations for AI development, extending beyond technical aspects. It emphasizes the importance of data privacy, algorithmic bias mitigation, safety measures, accountability, and transparency. Key points include minimizing data collection, detecting and addressing biases, thorough testing for safety, establishing transparent accountability chains, and fostering stakeholder engagement. Adhering to these guidelines ensures responsible AI development, contributing to a trustworthy and ethical AI landscape.

Keywords: AI development, ethics, data privacy, bias mitigation, safety, accountability, transparency.

JEL Classification: O33, O30, O31, O32, O38,