Integrating Ethical Principles into the development and deployment processes becomes essential for management leaders as AI rapidly transforms workplaces. Ethical AI and Decision-Making ensure the alignment of AI applications with human values and societal goals. Fairness, transparency, accountability, privacy, societal impact, and human values are critical ethical principles that guide AI systems. Ethical decision-making models and methodologies offer structured frameworks for balancing competing ethical considerations. AI Ethics Boards provide governance and risk management. Interdisciplinary collaboration, Stakeholder engagement, and Inclusive processes bring diverse perspectives. Risk assessment, Governance Frameworks and mitigation strategies address potential harms and promote Responsible AI practices. By implementing ethical decision-making practices, promoting transparency and accountability, and engaging in responsible AI governance, organizations and leaders can benefit from AI while minimizing ethical risks and maximizing societal benefits.
Authors: Vijaya Kittu Manda, Veena Christy, Mallikharjuna Rao Jitta
DOI: https://doi.org/10.4018/979-8-3693-4147-6.ch009
Publish Year: 2024
