The Philippines has made significant strides in regulating artificial intelligence (AI) through the recent enactment of the E-Governance Act, which aims to enhance public service delivery using data-driven decision-making. Additionally, the Department of Education has issued guidelines for the responsible integration of AI in basic education, emphasizing human oversight and digital literacy.
As the US midterms approach, the regulation of AI is becoming a pivotal issue for voters, especially following the Trump administration’s executive order that limits state regulation. With over 70% of voters favoring more oversight of AI, candidates have a unique opportunity to address the growing concerns surrounding the technology’s impact on society and the economy.
Pradeep Paruchuri, senior director of solutions engineering at UiPath, emphasized that agentic artificial intelligence can enhance government efficiency by transitioning systems from passive support to active task execution. He highlighted three key considerations for agencies adopting this technology, including ensuring transparency, establishing zero training agreements, and utilizing agentic orchestration to manage AI-human interactions.
Welcome to AI Today in 5, your daily source for the latest AI stories from the business world, compliance, and ethics. Today’s top stories explore how AI is shifting compliance from detection to prevention and the implications of national AI laws on state regulations.
Insurers face increasing compliance risks as they incorporate AI into aerial imagery analysis for home property coverage. The lack of clear regulations and notification requirements creates transparency gaps, leaving homeowners unaware of how such data influences their policies.
Relyance AI highlights the ongoing concerns regarding enterprise visibility into how AI systems utilize data, revealing a common issue where teams know data locations but lack insight into AI model interactions. Their new product, Lyo™, aims to continuously map AI activity, helping organizations understand data access and enforce governance policies in real time.
The Trump Administration has released a national legislative framework with six key recommendations to guide Congress in shaping federal artificial intelligence policy. This framework emphasizes the need for workplace AI governance and workforce readiness as AI adoption grows across various sectors.
IBM has successfully expanded its market presence in Latin America by transforming its portfolio and go-to-market strategy, focusing on AI and data solutions. With a commitment to training professionals and implementing ethical governance, IBM aims to drive productivity and innovation in the region.
According to Gartner, by 2028, fifty percent of enterprise cybersecurity incident response efforts will focus on incidents involving custom-built AI-driven applications. Security leaders are advised to engage early in these projects to ensure adequate security controls are implemented.
Experts from Penn Medicine are calling for improved regulations for artificial intelligence in healthcare, noting that existing FDA approval pathways are outdated for modern AI devices. They propose a more robust framework to ensure these tools are properly trained and monitored before use in clinical settings.
