A global study reveals that while 66% of people use AI regularly, only 46% are willing to trust it, highlighting a significant gap in AI literacy and governance. The findings indicate a public demand for better regulation and responsible use of AI technologies to address concerns about its risks and benefits.
The Alliance for a Safe Community has called for a comprehensive ethical framework to govern the use of artificial intelligence (AI), emphasizing the need for collaboration among policymakers, tech leaders, and civil society. They propose a five-pronged regulatory framework that includes AI accountability laws and the development of a Code of Ethics and Integrity for AI technology.
Responsible AI (RAI) is the practice of designing and deploying machine learning systems ethically, ensuring they do no harm and respect human rights. As AI technologies increasingly shape our lives, incorporating RAI principles is essential to building trust and accountability in these systems.
Responsible AI is not just about the technology itself but also about the social decisions that shape its development and deployment. It reflects our values and power structures, making it crucial to address biases and ensure equity in its use.
In 2025, the adoption of Generative AI is significantly transforming privacy, governance, and compliance frameworks across various industries. As AI governance matures, organizations are increasingly integrating these frameworks into their existing operations to navigate the complex regulatory landscape.
As artificial intelligence transforms various sectors, the need for Responsible AI (RAL) is becoming a strategic imperative, emphasizing trust, fairness, explainability, and accountability. Organizations must embed RAI not only in technology but also in governance, culture, and daily workflows to address the growing concerns of algorithmic bias and transparency.
In the pursuit of Responsible AI, organizations often struggle to translate ethical principles into practical applications, leading to performative actions rather than meaningful change. To embed these values effectively, companies must focus on governance, operationalization, and creating incentives that align ethical accountability with their AI strategies.
New Zealand’s Chief Human Rights Commissioner, Stephen Laurence Rainbow, emphasized the urgent need for a global framework to address the human rights implications of artificial intelligence during an international conference in Doha. He highlighted the importance of discussing both the challenges and opportunities presented by AI, as well as the essential role of human rights organizations in navigating these emerging issues.
As artificial intelligence (AI) continues to evolve, organizations must prioritize safe practices to mitigate security risks, including personal data privacy concerns. A recent compliance survey revealed that while many companies utilize AI, only a portion have established policies to address data protection and governance.
A Canadian trade union has proposed that Thomson Reuters enhance its artificial intelligence governance framework to align with investors’ expectations regarding human rights and privacy. The proposal highlights the potential risks associated with AI technologies, including misuse and data privacy issues, urging shareholders to consider the increasing legal and reputational threats the company may face.