As automation becomes increasingly prevalent, ethical concerns regarding bias and compliance in AI systems are rising. Biased algorithms can lead to unfair outcomes in critical areas like hiring and healthcare, highlighting the importance of transparency and accountability in system design.
A bipartisan group of California lawmakers is urging Congress to remove a provision from a federal tax bill that would prevent states from regulating artificial intelligence for the next decade. They argue that this provision threatens public safety and undermines state sovereignty, especially given California’s significant role in the AI industry.
To create inclusive AI, it is essential to build it on representative data that reflects the full diversity of human experience. This requires modernizing data infrastructure, fostering collaboration, and committing to ethical design to ensure that AI serves all communities effectively.
The United States is on the verge of enacting a federal measure that would impose a ten-year ban on state regulations concerning artificial intelligence (AI), a provision included in President Trump’s ‘One Big Beautiful Bill Act (OBBBA) 2025.’ This decision has sparked significant opposition from various lawmakers and civil society groups, who express concerns over the potential risks to consumer protection and regulatory oversight.
Since 2016, over thirty countries have enacted laws addressing Artificial Intelligence, and discussions about AI regulation are intensifying globally in 2025. UNESCO’s consultation paper outlines nine regulatory approaches to AI, ranging from light-touch measures to more coercive regulations, highlighting the need for a balanced framework in AI governance.
The EU AI Act Newsletter #78 discusses the European Commission’s ongoing efforts in developing AI regulations, including stakeholder feedback on definitions and prohibited practices, as well as the need for AI literacy among providers. It also highlights concerns over bureaucratic red tape and the importance of maintaining AI safety standards while fostering innovation.
Trustworthy AI ensures that systems are ethical by design, while Responsible AI maintains human control and accountability. Human-Centric AI focuses on aligning technology with humanity’s best future, emphasizing justice, equity, and collective well-being.
The essay discusses the intensifying competition between the United States and China in the field of artificial intelligence, highlighting how U.S. efforts to control AI development have led to a zero-sum mindset that could escalate geopolitical tensions. It warns that this approach may impede progress towards creating a global framework for AI safety and security.
The governments of Indonesia and Slovakia are exploring an alliance to develop inclusive global governance for artificial intelligence (AI), discussed during a recent meeting in Jakarta. This collaboration aims to address disparities in AI development and enhance mutual learning in AI regulation ahead of the upcoming Global Partnership on AI Summit in Slovakia.
Digital communication expert Henri Subiakto emphasizes the urgent need for regulations governing the use of artificial intelligence (AI) in Indonesia to prevent misuse of AI-generated content. He advocates for the Indonesian government to reference the European Act on AI, which prioritizes democratic principles and addresses the complexities arising from AI usage.
