After attending the HIMSS 2023 Global Health Conference and Exhibition last week, Toni Witt recaps his top takeaways from the big healthcare industry event.
Search Results: ethical AI (192)
Microsoft’s updates to its Azure AI Services for Health and Healthcare Cloud, set to be previewed at the HIMSS conference this week, signal a transformative leap forward.
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.
With the advancing development of artificial intelligence, the new era of AI natives will bring new expectations to the workforce.
The first day of the Digital CIO Summit was filled with first-person perspectives and practitioner-led sessions about the role of the CIO.
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.
With artificial intelligence heading toward mainstream status, it’s time for CFOs to develop a game plan for implementing this powerful technology in their organizations.
As organizations build artificial intelligence into their operations, they should also consider how to instill trust in their systems to maintain a competitive edge.
To build and maintain customer customer trust, businesses must understand how to identify and eliminate bias within their AI models.
In the latest Growth Swarm podcast, John Siefert, Bob Evans, Tony Uphoff, and Scott Vaughan discuss generative AI’s potential effect on today’s advertising-driven, attention-based economy.
How organizations can balance their expanding use of AI against the need to manage the data governance process — while increasing the value and velocity of data.
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.
Throughout history, technology has always been seen as a threat to livelihoods, but its disruptions have always led to more (and better) work opportunities.
Janet Schijns defines how AI apps, supported by partners, can automate everything from repetitive tasks to supply chains for better operational efficiency.
As AI progresses, concerns about ethics and standards increase. Ronak Mathur shares insights and tools for ethical AI technology and practices.
Aaron Back defines generative AI and shares a few use cases and considerations for vetting the technology before implementation.
AI is increasingly mainstream, so it’s more important than ever to make sure that all organizations implement smart, unbiased security protocols.
Toni Witt explores the ramifications for AI-as-a-service now that Microsoft is working with OpenAI and Hugging Face to integrate AI tools GPT-3 and DALL-E-2 with Azure.