The integration of Artificial Intelligence (AI) into Citizen Science (CS) is revolutionizing data collection and analysis by enhancing efficiency and scalability. However, it also introduces risks concerning transparency, bias, and participant motivation, requiring a balanced approach to preserve community engagement and openness.
As 2026 begins, the United States, European Union, and China are implementing new AI regulations that reshape the landscape for businesses relying on artificial intelligence. These changes bring increased legal and operational risks, especially in sectors like lending and healthcare, as governments balance innovation with oversight.
On January 20, 2026, the House of Commons Treasury Select Committee released a report criticizing current AI risk management in financial services and calling for stronger regulatory guidance and oversight from the FCA and other bodies.
Leading the Future, a new super PAC, raised $125 million in 2025 to back candidates promoting national AI regulation while opposing those favoring state-by-state approaches, such as Democratic candidate Alex Bores.
The USPTO has clarified that only natural persons can be recognized as inventors, reaffirming that AI, while a powerful tool in the inventive process, cannot be listed as an inventor on patent applications. The 2025 Guidance emphasizes the importance of human contributions to the conception of inventions, ensuring that patent law remains focused on human ingenuity.
Despite facing judicial scrutiny for violating court orders, ICE is expanding its surveillance capabilities with over 200 AI applications, including tools for facial recognition and social media analysis. This rapid growth raises significant concerns about civil liberties and the potential for increased repression.