Kazakhstan’s lower house of Parliament has approved a draft law aimed at establishing a legal framework for artificial intelligence, emphasizing a human-centric approach to ensure public safety and data protection. The law reflects global trends in AI regulation, aiming to foster trust between technology and society while promoting responsible AI development.
Texas has passed the Responsible Artificial Intelligence Governance Act (TRAIGA), which aims to regulate AI use in the workplace without imposing significant new burdens on employers. If approved by Governor Abbott, the law will come into effect on January 1, 2026, joining other states in establishing AI regulations.
As artificial intelligence evolves, it raises new legal dilemmas concerning accountability, liability, and intellectual property rights. The emergence of AI agents, capable of autonomous decision-making, challenges traditional legal frameworks and necessitates a reevaluation of agency law.
Mayer Brown’s webinar will address the Trump Administration’s new national security restrictions on AI exports, highlighting the importance of due diligence for companies using advanced AI commodities. Participants will learn about compliance best practices and the implications for their operations in the AI industry.
A new U.S. bill, dubbed “Big Beautiful Bill,” would prevent state-level AI regulation for a decade, potentially granting Big Tech unchecked power. Critics argue that this could harm innovation, transparency, and public trust while isolating the U.S. from global AI standards.
A global study reveals that while 66% of people use AI regularly, only 46% are willing to trust it, highlighting a significant gap in AI literacy and governance. The findings indicate a public demand for better regulation and responsible use of AI technologies to address concerns about its risks and benefits.
The Alliance for a Safe Community has called for a comprehensive ethical framework to govern the use of artificial intelligence (AI), emphasizing the need for collaboration among policymakers, tech leaders, and civil society. They propose a five-pronged regulatory framework that includes AI accountability laws and the development of a Code of Ethics and Integrity for AI technology.
The article discusses the significant challenges that companies face regarding regulatory compliance in the context of AI adoption, particularly in Europe. It highlights issues such as the difficulty of interpreting regulations, risk avoidance, and the need for human oversight, which can slow down innovation and hinder the deployment of AI solutions.
This post discusses the legal accountability surrounding AI-generated deepfakes, particularly in the context of election misinformation. It highlights recent incidents where deepfakes have been used to manipulate public perception during elections and explores the existing legal frameworks addressing these challenges.
India’s regulators are adopting a cautious approach to the growth of AI-driven markets, balancing innovation with the need for effective data regulation. The evolving legal framework includes the Digital Personal Data Protection Act and potential new rules aimed at ensuring fair competition in the digital economy.