Chief Product Officer of Responsible AI @Microsoft
New York, NY
Joined February 2008
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Making AI systems trustworthy requires deep integration across the development lifecycle to build, test, and monitor AI applications. Building on top of many of our RAI tools we're excited to announce new capabilities to make this easier for every AI developer and deployer.
Today, we’re pleased to introduce new product capabilities aimed at enhancing the security, safety, and privacy of AI systems. We remain dedicated to empowering our customers to create and deploy trustworthy AI solutions. msft.it/6000mjLSC
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Companies around the globe are adopting Large Language Models, but do they have the tools and best practices to implement them responsibly? Learn how to infuse Responsible AI in your LLMOps as you build Generative AI Applications. #AzureAI #ResponsibleAI
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Our Responsible AI team is growing! We have quite a few open positions in PM, Science, and Eng roles. If you're interested in creating a safe and responsible future for GenAI, join us!
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I'm hiring a PM to join my team in Azure AI. If you want to contribute to shaping the future of RAI technology and shipping a lot of amazing applications along the way, this the team for you! #hiring #ai #azureai #genai #responsibleai
careers.microsoft.com/us/en/…
wired.com/story/how-microsof…
Here's an inside look at our experiences while developing the new Bing.
I joined this week’s episode of the #AIShow with @sethjuarez to talk about the importance of being responsible with #GenerativeAI like #ChatGPT. Check it out youtu.be/Mr5pWbKbc8Y
#LLM #RAI
GPT-4 is available in Azure! In additional to being a significant leap in quality, it's also an exciting step forward in safety. We've upgraded our safety system over the past few months using GPT-4 and our partners at OpenAI have built safety directly into the model.
The GPT-4 preview is now available in Azure OpenAI Service. Create solutions that can generate and understand text in multiple languages, craft contextually appropriate responses, and more. Get the details → msft.it/601357oDz #AzureOpenAI #GPT4
ALT Text reads "Azure Open AI Service. G P T-4 has arrived. Read the blog."
Another product release with new RAI tech in action!
Since the launch of Copilot technical preview last year, I’ve been in awe of what AI can do to help developers write code easier and stay in the flow.
Starting today, Copilot is generally available to individual developers. 🚀
github.blog/2022-06-21-githu…
As part of aligning our products to our Responsible AI Standard, we've made updates to our facial recognition products. azure.microsoft.com/en-us/bl…
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Microsoft's Responsible AI Standard is available publicly today. Learn more about how we've updated our products to meet our Responsible AI goals. blogs.microsoft.com/on-the-i…
I hope everyone had as much fun watching our AI Into Focus session as we had filming it! Always great to work with @sethjuarez, @eric_boyd, @m__s__paint and the rest of the team!
Check out our new Responsible AI Dashboard in action with NHS! news.microsoft.com/en-gb/fea…
I'm hiring someone for my team! If you want to work on responsible AI for the world's most advanced language models, come join us!
lnkd.in/eKYsDy76
#microsoft #responsibleai #openai #AI
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I've never been so excited about documentation :-).
I am *very* salty about the value of sentiment analysis because AI is *so good* at human nuance and sarcasm (👀) so it's good to see a transparency note for the Cognitive Services sentiment analysis with advice on using it responsibly docs.microsoft.com/en-us/leg…
I enjoyed sitting down with @marypcbuk to discuss opportunities for differential privacy today. techrepublic.com/article/mic…
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Microsoft is honored to be highlighted in a new @WEF + @scuethics case study series focused on how companies incorporate ethical thinking into the development of technology. Check out the blog to learn more. aka.ms/WEFxRAI. #responsibleai
4 lessons on designing responsible, ethical tech - @Microsoft case study insights from Brian Green of @SantaClaraUniv and Daniel Lim wef.ch/3bKWDrw
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Today we released exciting new capabilities in our family of responsible AI open source tools aimed at understanding model errors and generating private synthetic data.
As Microsoft continues to enable responsible AI development with new open-source capabilities, we’re excited to introduce two new additions:
Error Analysis to debug model errors.
Synthetic data capability in SmartNoise for privacy protection.
Details: msft.it/6010pAsSu
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Join us!
In just half an hour we will be LIVE on the AIShow! Make sure to come heckle me as we tape a formal episode on Custom Neural Voice and continue work on our rock-paper-scissors AI project.
Join on LearnTV aka.ms/LearnTV or YouTube aka.ms/AIShowLive
If you want to learn more about an exciting new technology and how we're putting responsible AI into practice in Azure AI, take a look at Custom Neural Voice released today.
"Today, we are excited to announce that Custom Neural Voice is now generally available (GA)."
"Custom Neural Voice ... allows you to create a one-of-a-kind customized synthetic voice for your brand."
techcommunity.microsoft.com/…