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.
As organizations increasingly adopt AI to drive innovation, they face a dual challenge: while AI enhances cybersecurity measures, it simultaneously facilitates more sophisticated cyberattacks. The lack of accountability and awareness among employees remains a significant vulnerability, highlighting the need for comprehensive training and clear governance structures in the face of evolving threats.
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.
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