As organizations increasingly adopt AI to drive innovation, they face a dual challenge: while AI enhances cybersecurity measures, it simultaneously facilitates more sophisticated cyberattacks. The lack of accountability and awareness among employees remains a significant vulnerability, highlighting the need for comprehensive training and clear governance structures in the face of evolving threats.
The New York State Senate has passed the Responsible AI Safety and Education Act (RAISE Act), which requires major generative AI companies to publish safety reports and notify consumers of security incidents. This legislation aims to promote innovation while ensuring that safety measures are in place to protect the public from potential risks associated with advanced AI technologies.
Artificial intelligence (AI) is reshaping the hiring landscape, but it also raises concerns about discrimination and compliance with regulations. Recent developments in California and a lawsuit against Workday highlight the need for HR teams to scrutinize their AI tools to prevent legal risks.
Responsible AI refers to the practice of designing and deploying AI systems that are fair, transparent, and accountable, ensuring they benefit society while minimizing harm. As AI becomes increasingly integrated into our lives, it is essential to address the risks of bias, discrimination, and lack of accountability to build trust in these technologies.
Responsible AI is described by Dr. Anna Zeiter as a fundamental imperative rather than just a buzzword, emphasizing the need for ethical frameworks as AI reshapes the world. She highlights the importance of cross-collaboration across various disciplines to foster trust and accountability in AI systems.
The article discusses the critical role of human governance in shaping the impact of artificial intelligence on society. It emphasizes that AI is not an autonomous force, but rather a human creation whose future depends on the choices made today.
The post discusses the critical need for organizations to develop a strategy for the governance and ethical oversight of artificial intelligence (AI), emphasizing the integration of diversity, equity, and inclusion (DE&I) principles. It highlights the potential risks of AI, such as bias in algorithms, and underscores the importance of collaboration between AI and DE&I professionals to create human-centric AI solutions.
This post discusses the legal accountability surrounding AI-generated deepfakes, particularly in the context of election misinformation. It highlights recent incidents where deepfakes have been used to manipulate public perception during elections and explores the existing legal frameworks addressing these challenges.
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.
The Digital Trust Summit 2025 highlighted the urgent need for organizations to embed trust, fairness, and transparency into AI systems from the outset. As AI continues to evolve, strong governance and ethical practices will be essential for navigating the complexities and risks associated with its adoption.