This article discusses the importance of procurement processes in the adoption of AI technologies by local governments, highlighting how loopholes can lead to a lack of oversight. It emphasizes the need for consistent governance norms to ensure responsible AI practices and accountability in public sector acquisitions.
Over 50 organizations, including Access Now and the European Consumer Organisation, warned the EU Technology Commissioner against delays or backtracking on the AI Act, emphasizing that such actions would undermine accountability mechanisms. They highlighted the importance of maintaining legal protections and not allowing the simplification agenda to drive deregulation.
A new bill in California aims to regulate “companion” chatbots, requiring companies to alert users that they are interacting with AI and to avoid addictive features. The legislation follows concerns about the harmful effects of these chatbots, particularly on vulnerable users like children.
The AI for Good Global Summit 2025 convenes leaders from various sectors to explore how artificial intelligence can support Sustainable Development Goals while mitigating risks like inequality and disinformation. Keynote speaker Doreen Bogdan-Martin emphasized the need for a whole-of-society approach to upskilling in AI and warned against deploying these technologies without adequate understanding and oversight.
In a recent discussion on AI governance, the importance of responsibility was emphasized, highlighting that users must accept accountability for AI-related outcomes. The conversation also addressed the unique challenges of AI governance, including the need for ethical standards and structured oversight to mitigate risks associated with its rapid adoption.
The article discusses the integration of artificial intelligence (AI) in oncology, highlighting its potential applications throughout a patient’s cancer journey, from clinical trial matching to treatment planning. It emphasizes the need for responsible AI governance frameworks tailored specifically to oncology to ensure quality assurance and address the unique challenges in the field.
The article discusses the integration of artificial intelligence (AI) in oncology, highlighting its potential applications throughout a patient’s cancer journey, from clinical trial matching to treatment planning. It emphasizes the need for responsible AI governance frameworks tailored specifically to oncology to ensure quality assurance and address the unique challenges in the field.
Responsible AI goes beyond ethics; it requires control, clarity, and performance to ensure that AI systems are not only ethical but also usable. Key design principles such as transparency, accountability, privacy, safety, and fairness must be embedded throughout the AI lifecycle to achieve real value and build trust.
Join the Global Index on Responsible AI as a Country Researcher and contribute to an impactful project by gathering evidence on responsible AI commitments in your country. This role offers compensation ranging from USD $1,000 to USD $3,000, depending on the volume of evidence collected and the local economic context.
Generative AI is revolutionizing industries, but it comes with a significant environmental cost due to carbon emissions from extensive compute resources. As the demand for large-scale models grows, developers face the urgent challenge of minimizing this environmental impact while creating powerful AI systems.
Take the first steps in your transformation towards international AI compliance.
Our expert sales team is here to answer your questions, just leave your email and we’ll get in touch.
