South Korea has missed its self-imposed deadline to disclose draft versions of enforcement decrees for its AI Basic Act, which was passed in late December 2024. The delay has caused growing concerns among companies about regulatory clarity as they prepare for the law’s implementation in January 2026.
AI cooperatives, which operate on cooperative principles, present a promising alternative to the current model dominated by a few large firms. By promoting democratic governance and shared ownership, these cooperatives can address issues like privacy violations and biases, creating a more accountable and community-centered approach to AI development.
Responsible AI refers to the principles and practices that ensure AI systems are built and used ethically, transparently, and accountably. As AI becomes embedded in various sectors, it is crucial to address the ethical implications to prevent reinforcing inequalities and making harmful decisions.
As Africa celebrates its month, it is crucial to emphasize that the continent’s future in AI must not merely replicate global narratives but rather be rooted in its own values and contexts. Africa is rich in data yet lacks the agency to govern it effectively, risking becoming a passive consumer of AI innovations instead of an active participant in shaping its future.
The EU AI Act mandates that organizations providing or deploying AI systems ensure their staff attain sufficient AI literacy to navigate the associated risks and benefits. This requirement is particularly crucial in electoral processes, where a lack of understanding could lead to harmful outcomes such as disinformation and compromised voter rights.
Former top EU commissioner Margrethe Vestager has stated that it is “way too soon” to change the existing regulations surrounding artificial intelligence in the EU. This comment comes amidst ongoing discussions and lobbying related to AI laws and their implications for the industry.
The emergence of artificial intelligence (AI) has fundamentally reshaped the cybersecurity landscape, acting both as a solution and a threat. As AI becomes increasingly embedded in cybersecurity practices, professionals must evolve their skill sets to include AI-driven governance, risk visibility, and compliance oversight.
The rise of artificial intelligence may become the biggest political issue of the next decade as it threatens to erase millions of white-collar jobs. Experts warn that without intervention, unemployment could spike dramatically, dramatically reshaping the workforce and economy.
New York’s Responsible AI Safety and Education (RAISE) Act aims to protect people from AI-related harms by imposing strict requirements on AI developers. However, the act risks bureaucratic inefficiencies and may prioritize compliance over actual safety outcomes.
The success of AI governance relies on embedding ethical principles into strategies and decision-making processes, rather than merely documenting them. It is crucial to measure human behaviors related to AI use to ensure accountability and foster a culture of responsible AI implementation.
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