Ethical and Regulatory Considerations in AI-Driven Predictive Decision-Making for Public Safety
A Geethapriya, Shobana D, B Sarala · 2025
The integration of artificial intelligence (AI) in predictive decision-making for public safety presents both opportunities and challenges, particularly concerning ethical and regulatory considerations. As AI systems become integral to critical sectors such as law enforcement, healthcare, and emergency management, the need for robust frameworks to address ethical dilemmas, data security, transparency, and accountability has never been more pressing. This chapter explores the multifaceted ethical issues surrounding AI-driven predictive systems, emphasizing fairness, bias mitigation, and the protection of sensitive data. Key challenges include ensuring algorithmic transparency, developing tools for real-time explanation, and managing the impact of human biases in decision-making processes. Additionally, the chapter highlights the legal complexities associated with AI accountability and the evolving need for human oversight in these systems. As AI continues to advance, it was crucial to establish regulatory mechanisms that safeguard against unintended consequences while promoting public trust. This comprehensive examination aims to inform stakeholders about the pressing ethical dilemmas and provide actionable insights into mitigating risks associated with AI-powered predictive decision-making in public safety contexts.