Responsible AI emphasizes the need for ethical guidelines to ensure that AI technologies are deployed transparently and accountably, aligning with societal values. By adopting responsible AI practices, businesses can build trust, catalyze innovation, and foster positive societal impacts.
In my deep dive into AI TRiSM, I explore Gartner’s framework designed to ensure that AI systems are secure, reliable, and respectful of users and regulators. This initiative is a crucial step towards building responsible AI, moving beyond mere concepts into actionable guidelines that the industry can adopt.
Financial services companies are increasingly adopting machine learning (ML) to automate critical processes like loan approvals and fraud detection. To ensure responsible AI practices, it is essential for these companies to maintain compliance with industry regulations while utilizing tools like Amazon SageMaker for transparency and accountability in their ML models.
Despite the widespread integration of artificial intelligence (AI) into daily life, a significant portion of the public remains skeptical about its impact, particularly concerning ethical governance and corporate responsibility. This paradox highlights the urgent need for businesses to enhance transparency and accountability to build trust in AI technologies.
The European Union has enacted landmark legislation banning AI tools associated with social scoring and predictive policing due to their unacceptable risk to safety and rights. This legislation, effective February 2, 2025, prohibits several categories of AI systems deemed harmful, including social scoring systems and emotion recognition tools in workplaces.
The article discusses the veto of California’s SB 1047, a proposed regulation aimed at ensuring the safety of advanced artificial intelligence systems. It highlights the intense lobbying around the bill and Governor Gavin Newsom’s concerns about its potential impact on innovation and public safety.
The paper assesses the levels of environmental protection established by the Artificial Intelligence Act (AIA) and its relationship with EU environmental law. It highlights the challenges and opportunities presented by AI technologies in achieving sustainability while addressing potential environmental risks.
The EU AI Act is the world’s first comprehensive legislation governing AI, aiming to create a fair market for trustworthy and human-centric AI while ensuring safety and fundamental rights. This article discusses the key provisions of the AI Act relevant to small and medium-sized enterprises (SMEs) and how they can prepare to comply with its requirements.
EU lawmaker Axel Voss is consulting with businesses to assess the need for new liability rules for artificial intelligence as part of the upcoming AI Liability Directive. The directive aims to modernize existing regulations and address potential legal challenges posed by AI systems.
The adoption of AI in HR offers significant potential for enhancing processes and decision-making, but it also requires careful navigation of the complexities posed by the EU AI Act. Companies must establish robust AI governance to ensure ethical and compliant use, especially when dealing with data from EU and UK citizens.