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.
The post discusses the critical need for accountability in the use of AI within organizations, highlighting that many leaders are unaware of their responsibilities regarding AI governance. It emphasizes that AI must be implemented ethically, reflecting human values, and calls for robust strategies to de-risk AI deployment.
A recent global study reveals that while 58% of employees use AI tools regularly at work, nearly half admit to using them inappropriately, such as uploading sensitive information or not verifying AI-generated content. This highlights the urgent need for organizations to establish clear policies and training on the responsible use of AI to mitigate risks.
The article emphasizes the urgent need for the U.S. to adopt a “black box” system for AI, similar to aviation, to learn from failures and enhance safety and governance in AI technologies. It advocates for improved AI literacy among the population to ensure that Americans can navigate the complexities of an AI-driven economy effectively.
The abandonment of the AI Liability Directive by the European Commission poses significant risks by leaving companies without clear legal guidelines, ultimately reducing their incentives to invest in AI technologies. This decision amplifies legal uncertainty and could hinder innovation in the rapidly evolving field of artificial intelligence.