Despite widespread concerns about an AI bubble, CIOs like Jim Palermo of Trimble advocate for a disciplined and pragmatic approach to AI investment, focusing on governance, resilience, and high-value use cases to navigate market volatility.
Poynter and Hacks/Hackers collaborate to ensure AI adoption in journalism follows ethical standards by integrating AI ethics and literacy into journalism events throughout the year, addressing key issues such as transparency and audience trust.
China is tightening regulations on its livestream e-commerce industry, which handles over CNY4.5 trillion in transactions annually, now including rules for AI-generated content and virtual anchors. The new measures mandate clear labeling of AI hosts and set legal responsibilities for e-commerce platforms and operators to combat misleading promotions and enhance transparency.
As policymakers develop AI safety regulations, there is a risk these rules could favor large incumbents and stifle startups. An asymmetrical regulatory approach, imposing stricter rules on major players while allowing smaller firms more flexibility, can better maintain both safety and market diversity.
AI companies face a complex regulatory landscape due to laws passed in the European Union and several US states, especially California. These overlapping regulations create a compliance ‘sandwich’ that influences AI technologies from their inception.
President Trump announced plans to issue an executive order aimed at curbing state laws on artificial intelligence, seeking to create a federal framework to eliminate inconsistencies across states in A.I. regulation. This move responds to growing state-level laws requiring safety tests and consumer privacy protections for A.I. technologies.
On December 11, 2025, President Trump signed an Executive Order establishing a national AI policy framework aimed at blocking conflicting state AI laws. The Order tasks the US Attorney General with forming an AI Litigation Taskforce to challenge state laws that may hinder US AI leadership.
Droit has launched the Decision Decoder, an AI-powered tool that provides context-aware explanations for decisions made by its Adept platform, enhancing regulatory compliance and operational efficiency for financial institutions.
Springer Nature, a major academic publisher, is under scrutiny after many fabricated citations were found in their book on AI ethics, raising serious concerns about academic publishing integrity.
Springer Nature faces criticism for including numerous fabricated citations in its book Social, Ethical and Legal Aspects of Generative AI, raising serious concerns about academic publishing integrity and the reliability of AI-generated research.