AI tools are revolutionising how we interact with information, but "hallucinations"—when AI provides incorrect information—pose a significant challenge. In a recent ITPro article by Jonathan Weinberg, our Global CTO Simon Bennett delves into the impact of AI hallucinations, the necessity of rigorous data validation, secure IT protocols, and the continuous improvement needed to address embedded biases in AI models. Learn more about navigating AI hallucinations in the full ITPro article: https://lnkd.in/grg3kfvq #ResponsibleAI #FutureofAI Foundry for AI by Rackspace (FAIR™)
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Explore how #AI hallucinations are shaping our interaction with information and the challenges they pose. Our Global CTO, Simon Bennett, shares insights on the importance of data validation, secure IT protocols, and relentless enhancement to deal with inherent biases in AI models. 👉 Read the recent ITPro article by Jonathan Weinberg here: https://bit.ly/4dj5Bef. #ResponsibleAI #EthicalAI #FutureofAI #AIforAll
AI hallucinations: What are they?
itpro.com
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In their new blog post, Merlin Stein and Connor Dunlop explain why post-deployment monitoring of AI models and applications is needed. The blog post maps out who, across the AI value chain, has access to the information needed for effective monitoring, and examines what a standardised system of control and reporting could look like. Read the blog post on our website: https://lnkd.in/eA8eN6EE
Safe beyond sale: post-deployment monitoring of AI
adalovelaceinstitute.org
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Leading technical solution architecture teams that provide high value services to Enterprise cloud consumers.
The rise of #AI comes with challenges, including hallucinations. In this ITPro article, Rackspace CTO Simon Bennett explains how to navigate these issues with robust data validation and secure IT protocols. A must-read! #AI #TechTrends #IndigoTechnology
AI hallucinations: What are they?
itpro.com
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In our latest blog, our Head of Data and Methods discusses the benefits and risks of AI in official statistics, and outlines OSR’s strategy for AI in the year to come 👉 https://lnkd.in/eatfNBwx
Our current position on regulating, responding to and using AI
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I loved this thoughtful take on AI in WARC Often people think of AI as cost saving, but when you consider the cost of implementing and maintaining AI systems it’s not a cost “saving” but more of a cost “shifting” - whether that's monetary or environmental costs 🌳 💸 🤖 WARC article here: https://bit.ly/3UqUKbb
Marketing & Advertising Curated News | WARC | The Feed
warc.com
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AI Conundrums via RedMonk is another great piece of content from Stephen O'Grady on #AI #tidal. Here are some learnings I've got from this reading I recommend: 1️⃣ The AI industry is #maturing, yet facing #challenges. 2️⃣ While #LLMs attract attention, #SMLs often prove more practical for specific enterprise use cases. 3️⃣ The rise of AI #gateways suggests a potential shift towards #modelAgnostic interfaces. 4️⃣ Defining #opensource AI, especially regarding training data, remains complex and contentious. 5️⃣ The industry faces decisions on balancing ideal open source principles with practical implementation. Bruno Zerbib Laurent Leboucher Steve Jarrett Yves-Denis Martin Elisabeth Py Gilles Bourdon Sana Ben Jemaa Olivier Simon Dinh Thuy PHAN HUY
AI Conundrums
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The rise of #AI comes with challenges, including hallucinations. In this ITPro article, Rackspace CTO Simon Bennett explains how to navigate these issues with robust data validation and secure IT protocols. A must-read! #AI #TechTrends
AI hallucinations: What are they?
itpro.com
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Biden’s executive order on AI: Where to go from here: Thanks to the executive order, 2024 will be a year when not only does AI adoption accelerate but so do initiatives to govern it. The post Biden’s executive order on AI: Where to go from here first appeared on Federal News Network. #FedearlNewsRadio #News
Biden’s executive order on AI: Where to go from here
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🔍 Trust and #Artificial Intelligence: are they compatible? Modern AI #algorithms are deeply complicated. Introducing #AI into high-risk settings like healthcare imply that algorithms should be easy to interpret and free from bias. 👉 Read more here: https://ow.ly/RfCY30sBzxH
Trusting AI requires we move beyond black-box algorithms
weforum.org
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Who will control the future of AI?
Opinion | Who will control the future of AI?
washingtonpost.com
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