EDRi affiliate Politiscope hosted an event in Croatia to discuss the human rights impacts of Artificial Intelligence (AI) and to influence national policy ahead of the implementation of the EU AI Act. The event highlighted the risks associated with AI, including privacy threats and algorithmic discrimination, while advocating for stronger safeguards for people’s rights.
As artificial intelligence systems evolve to make decisions and act independently, the legal frameworks that govern them are struggling to keep pace. This raises critical questions about whether AI should be granted legal personhood, as it blurs the lines of accountability and responsibility in areas such as contract and tort law.
The article emphasizes the critical role of data provenance in ensuring effective AI governance within organizations, highlighting the need for continuous oversight and accountability in AI interactions. It argues that traditional governance policies are insufficient and that a robust infrastructure focused on data lineage is essential for building trust in AI systems.
A lawmaker in the Philippines, Senator Grace Poe, emphasizes the need for a balanced approach in regulating artificial intelligence (AI) to ensure ethical and innovative use of the technology. She warns against over-regulating AI while recognizing its potential benefits and the importance of public consultation in developing guidelines.
China’s advancements in artificial intelligence (AI) are increasingly driven by open-source collaboration among tech giants like Alibaba, Baidu, and Tencent, positioning the country to influence global AI governance. This approach contrasts with the more closed models prevalent in the U.S., reflecting China’s strategy to leverage state support and foster a domestic AI ecosystem.
As organizations increasingly adopt artificial intelligence (AI), it is essential to implement effective AI governance to ensure data integrity, accountability, and security. The nine-point framework outlined provides practical steps to help organizations transition from theory to execution in their AI governance efforts.
The post discusses the increasing importance of artificial intelligence (AI) on the agendas of corporate boards, highlighting that many boards still lack sufficient knowledge and experience with AI. It emphasizes the need for proactive engagement and comprehensive oversight to leverage AI’s potential for innovation and operational efficiency.
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.
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.
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