By addressing transparency, accountability, fairness, and privacy, healthcare organizations can harness generative AI’s transformative power while upholding the highest standards of ethical conduct.
ethics
Understanding why ethical AI and explainable AI are foundational elements to generative AI is critical to moving forward.
In this CIO Summit moment, Microsoft WW Sustainability Industry Advocate Matthew Sekol discusses the intersection of sustainability, risk, and ESG.
ChatGPT, and its generative AI underlying technology, can replace some, but not all, human tasks. In this analysis, Janet Schijns explores which ones are best suited for machines versus humans.
Tony Uphoff extracts five key lessons for CEOs from the collapse of a financial institution that was once synonymous with startups and innovation.
In this Digital CIO Summit Moment, excerpted from a session on ethical AI, Workday’s Shane Luke discusses his company’s approach to AI implementation and regulation.
AI NeRFs are enabling new creation of 3D assets which can lead to incredible use cases, but guidelines will be vital to ensure ethical use.
The latest episode of the Growth Swarm podcast covers the recent open letter that Elon Musk, Steve Wozniak, and Andrew Yang wrote, proposing a six-month pause on generative AI.
By using AI frameworks, companies can ensure transparency, compliance, and more, which will lead to building customer trust in AI systems.
While it provides many business applications already, ChatGPT and other generative AI apps must be implemented wisely, says Tony Uphoff.
Businesses implementing AI models must have an intentional focus on ethical AI, especially at the data and modeling layers, to prevent the impacts of bias.
To build and maintain customer customer trust, businesses must understand how to identify and eliminate bias within their AI models.
Wayne Sadin shares takeaways from a recent panel discussion he attended, which covered topics from data management to AI and machine learning bias.
With the advancement of natural language processing (NLP) tools, guardrails and content moderation are critical to combat bias that can creep in.
The release of the “DC-Check” framework by researchers at UCLA and the University of Cambridge has called attention to the need for standardized AI frameworks.
Aaron Back discusses the muddy waters of ethical AI and why explainable AI is critical in contracts, using audiobook narrators as an example.
Audio is as critical as visual when creating authentic immersive experiences. Brands delving into the Metaverse must take it seriously, explains Toni.
In this data modernization Cloud Wars Expo Moment, Aaron Back defines ethical AI as technology that “adheres to defined ethical guidelines,” and not just by companies, but also by governments.
In Enterprise AI Minute, Ep. 68, Aaron Back explores how the Vatican’s “Rome Call” ethics commitment, which has been signed by both Microsoft and IBM, could impact artificial intelligence.
In Episode 118 of My Metaverse Minute, Kieron questions the ethics of — and consumer interest in — populating Metaverse spaces with AI avatars.