ETHICAL IMPLICATIONS AND DECISION-MAKING IMPACT OF ARTIFICIAL INTELLIGENCE IN CANADIAN WORKPLACES

Abstract

The increasing implementation of artificial intelligence (AI) in Canadian businesses presents significant benefits, including improved efficiency, superior decision-making abilities, and diminished human bias. This advancement presents ethical dilemmas such as algorithmic biases, accountability challenges, privacy threats, and transparency deficiencies. This article examines the ethical aspects of AI-driven decision-making inside Canadian enterprises, emphasizing leadership, communication, dispute resolution, and organizational culture. Methodologically, this qualitative research combines a review of existing academic literature with the analysis of practical case studies of AI implementation within Canadian organizations. Findings reveal that while AI enhances productivity and operational efficiency, it necessitates the establishment of ethical frameworks and the maintenance of human supervision to mitigate potential hazards, including biased outcomes and the erosion of trust. In conclusion, the study underscores the importance of a balanced approach where technology complements human decision-making, alongside continuous evaluation, regulatory support, and transparent policies to ensure a fair and responsible workplace environment in the age of AI.