A recent report from Trustmarque reveals that while 93% of UK organizations have adopted AI, only 7% have established comprehensive governance frameworks to manage associated risks. This gap highlights the urgent need for organizations to integrate effective governance as AI becomes more embedded in critical business processes.
Artificial intelligence (AI) is rapidly transforming business operations and decision-making processes in the Philippines, with the domestic AI market projected to reach nearly $950 million by 2025. However, the emergence of agentic AI brings new governance challenges, as businesses must adapt to manage the risks associated with these increasingly autonomous systems.
A recent study reveals that while 93% of UK organizations are utilizing AI, only 7% have established proper governance frameworks. This lack of oversight poses significant risks, as many companies are advancing in AI adoption without understanding the associated challenges and necessary controls.
AI compliance certification is essential for professionals to navigate the complex regulatory landscape as artificial intelligence increasingly integrates into various industries. This certification not only enhances career opportunities but also equips individuals with the necessary skills to ensure ethical and legal AI implementation.
Thirty-one artists from Europe have launched a campaign urging the EU Commission to “Stay True to the AI Act,” criticizing its implementation for failing to adequately protect artists’ rights against AI companies. They argue that the legislation is being weakened, which undermines the protections originally intended for creators.
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.