Artificial Intelligence (AI) is increasingly influencing our lives, necessitating the incorporation of ethical principles to uphold human values in its design. The ART design principles—Accountability, Responsibility, and Transparency—are essential for the development of AI systems that are sensitive to these values.
The paper discusses the challenges of moral accountability and safety assurance in the use of artificial intelligence-based clinical tools in healthcare. It emphasizes the need to update our understanding of accountability due to the opaque decision-making processes of these systems and suggests involving AI developers in the assessment of patient harm.
The document discusses the accountability and governance implications of AI, emphasizing the importance of compliance with data protection laws for AI systems that process personal data. It highlights the necessity of conducting data protection impact assessments (DPIAs) to identify and manage risks associated with AI technologies.
The Texas Responsible AI Governance Act (TRAIGA) aims to impose strict regulations on AI systems to address algorithmic bias, but its bureaucratic approach may create more problems than it solves. By prioritizing compliance over meaningful outcomes, TRAIGA risks obscuring progress in fairness and accountability in AI governance.
The right to an effective remedy is crucial in enforcing protections set by legislation governing digital technologies, including AI. However, challenges such as lack of transparency and procedural hurdles hinder individuals’ access to these remedies in the context of AI systems.