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In a new position paper, ACP detailed key principles for ethical, responsible AI use in healthcare.AI — when implemented thoughtfully — has the potential to strengthen clinical dec...
Most L&D teams scaled Gen AI before writing the rules, and that order is backwards. This article lays out a practical, one-page governance policy across five areas: data, IP, b...
A great deal of ethical AI discussion still happens at a distance from the people who live with the system every day. It happens in governance forums, legal reviews, executive upda...
The environmental debate around AI is often placed in the sustainability section of the company, where it becomes a reporting matter, a disclosure matter, or a reputational matter....
Building Artificial Intelligence Systems That Follow Guidelines by DesignContinue reading on Medium »
The American Medical Association (AMA) today announced the Ethical AI Use in Medicine Series, a new continuing medical education (CME) program that helps physicians safely, effec...
Agentic AI governance explained: OpenAI's practices, EU AI Act logging, NIST and IMDA guidance, the audit trail an agent needs, and how to test controls hold.
As the risks of artificial intelligence continue to mount, the expert analysis in this series engages the fundamental question of what ought to happen when AI risks manifest into r...
The updated SAP Global AI Ethics policy reflects the fast-changing AI landscape and lessons drawn from deep-dive interviews.
Agencies and marketers discussed the future of AI governance at AdExchanger's Programmatic IO NYC this week. The main takeaway? Expect insurers to play an increasingly important ro...
When AI makes a multi-million-rand mistake, the machine won’t take the stand. Its human gatekeepers will. It begins, as these things often do, with a persuasive dashboard and a bo...
As AI systems become more autonomous, security alone isn’t enough to build trust. Learn how responsible AI helps organizations govern AI agents, manage emerging risks, and keep sys...
Rejecting a tool is not the only alternative to unquestioning adoption. Experts explain how informed choices can push the market toward better systems.
A licence does not give everyone the same opportunity to learn. Examine paid time, accessible materials, work coverage and real tasks before judging AI capability.
For much of the past three years, the politics of artificial intelligence (AI) has revolved around relatively familiar questions. Will AI take jobs? Who owns the copyright to the m...
AI generates polished outputs in seconds, creating momentum that can make it tempting to move quickly toward completion. This article explores the value of pausing before taking ow...
Lessons from implementing body-worn cameras offer a practical blueprint for introducing artificial intelligence with clarity, trust and accountability
A student submits a flawless essay. The grammar is perfect, the argument is clear, and the references look convincing. There is only one problem: the student did not write it, and....
Ira Vouk of AIHA and Cendyn's Luke Markesky discuss responsible AI adoption in hospitality, covering standards, data privacy, risk management, and industry accountability.
Copyright and privacy obligations already govern the data, but agentic systems add the problem of preserving identity and accountability as software acts on it own
AI Governance Rules are practical policies that set out how a business can use artificial intelligence safely and responsibly. Every company should establish seven basics: assign a...
The code of conduct spells out what Microsoft's AI models should and shouldn't do, and invites public feedback before a revised version lands later this year. Read more: Microsoft...
Responsible AI becomes meaningful when principles are converted into operational capability. Enterprises need more than statements about fairness, transparency, privacy, safety, an...
Experts say existing laws may not cover every risk posed by autonomous AI systems
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