Carleton University is hosting the third annual Carleton Challenge Conference on May 13, focusing on the transformation and disruption caused by artificial intelligence (AI). Keynote speaker Adegboyega Ojo emphasizes the need for strong governance to manage AI’s potential benefits while addressing its significant risks.
The A4G Impact Collaborative launched the Responsible AI—Governance & Ethics Symposium in New Delhi, aiming to shape the ethical future of artificial intelligence. The event gathered global leaders to discuss the importance of aligning AI systems with human values and developing governance frameworks that foster collective flourishing.
On January 9, 2025, New Jersey’s Attorney General and the Division on Civil Rights announced a new initiative to address discrimination risks associated with artificial intelligence in hiring. The guidance outlines how the New Jersey Law Against Discrimination applies to algorithmic discrimination and emphasizes the need for employers to carefully consider their use of AI tools.
Generative AI usage in the workplace poses significant risks to corporate data security, as unmonitored access can lead to the loss of sensitive information. Jay Chaudhry, CEO of Zscaler, emphasizes the importance of implementing effective AI governance to protect intellectual property and ensure compliance with regulations.
Hungary has enacted amendments that expand the use of facial recognition technology to include minor infractions and peaceful protests, violating the EU AI Act. This legislation risks discouraging individuals from exercising their fundamental rights, such as freedom of assembly and expression.
AI governance should focus on novel threats rather than familiar risks, especially as advancements make AI capabilities more accessible to a wider range of entities. This shift in focus raises critical questions about what AI security entails and how to effectively address the emerging challenges posed by these new capabilities.
A proposed fix to Colorado’s 2024 artificial intelligence regulation bill was postponed indefinitely, requiring institutions to comply with the original law by February 1, 2026. The bill aimed to establish guidelines for AI use in various sectors, but concerns over its broad definitions and potential impacts on innovation led to its dismissal.
On April 29, 2025, Congress passed the TAKE IT DOWN Act, which prohibits the publication of non-consensual intimate imagery, including AI-generated deepfakes. Additionally, President Trump signed an Executive Order aimed at advancing AI education among American youth to maintain the country’s technological leadership.
The EU Artificial Intelligence Act (AI Act) is the first comprehensive legal framework aimed at regulating the use of Artificial Intelligence across the European Union, establishing obligations for companies both within and outside the Union. It adopts a risk-based approach, requiring compliance frameworks that address legal, technical, and ethical considerations in the deployment of AI systems.
As AI adoption grows in business operations, managing AI regulations and compliance has become critical to deploying AI with trust. A streamlined approach to AI governance is necessary to navigate the complex landscape of evolving regulations and mitigate financial, legal, and reputational risks.
