This research project investigates how the EU Artificial Intelligence Act is transforming corporate governance and accountability frameworks, compelling companies to reconfigure responsibilities and anticipate liability throughout their structure. It highlights the need for a model of distributed accountability that reflects the increasing integration of operational decision-making with legal compliance.
This research project investigates how the EU Artificial Intelligence Act is transforming corporate governance and accountability frameworks, compelling companies to reconfigure responsibilities and anticipate liability throughout their structure. It highlights the need for a model of distributed accountability that reflects the increasing integration of operational decision-making with legal compliance.
Artificial intelligence is becoming essential for the risk function, helping chief risk officers (CROs) to navigate compliance and data governance challenges. With a growing number of organizations adopting AI technologies, it is crucial for CROs to develop effective AI strategies to manage risks and drive innovation.
This research project investigates how the EU Artificial Intelligence Act is transforming corporate governance and accountability frameworks, compelling companies to reconfigure responsibilities and anticipate liability throughout their structure. It highlights the need for a model of distributed accountability that reflects the increasing integration of operational decision-making with legal compliance.
Thailand is drafting principles for artificial intelligence (AI) legislation aimed at establishing an AI ecosystem and enhancing user protection from potential risks. The legislation will remove legal barriers that existing laws cannot address, facilitating broader AI adoption and innovation.
Texas has enacted comprehensive AI governance laws, including the Texas Responsible Artificial Intelligence Governance Act (TRAIGA) and Senate Bill 1188, which establish a framework for responsible AI use, particularly in the healthcare sector. These laws mandate transparency in AI usage and prohibit discriminatory practices, ensuring that patients are informed about AI involvement in their care.
Riskonnect has launched its new AI Governance solution, enabling organizations to manage the risks and compliance obligations of AI technologies while fostering innovation. The solution integrates with Riskonnect’s broader risk management suite, helping customers apply a structured methodology for responsible and ethical AI use.
Gillian K. Hadfield has been appointed as the Bloomberg Distinguished Professor of AI Alignment and Governance at Johns Hopkins University, where she will focus on ensuring that artificial intelligence aligns with human norms and societal structures. Her research aims to address the “AI alignment problem” by examining how AI systems can be designed to behave in ways that are beneficial for society.
As AI technology evolves, face swap tools are increasingly misused for creating non-consensual explicit content, leading to significant ethical, emotional, and legal consequences. This article emphasizes the importance of responsible AI use and highlights how platforms like AdpexAI are championing ethical practices in the face of such challenges.
Indonesia’s Ministry of Communication and Digital is committed to integrating ethical principles and inclusivity into its AI policies, as highlighted by Deputy Minister Nezar Patria at the UNESCO Global Forum on the Ethics of Artificial Intelligence. The country aims to transform global AI ethics recommendations into actionable policies, emphasizing international cooperation among the Global South to ensure that all nations benefit from the advancements in AI.
