Dr. Sam Tyner-Monroe

I'm moving over to other socials. I won't delete this account but I'm preferential to LinkedIn these days because I can long-form blog and network all in one. Check out my latest post on AI accuracy and #thepitt linkedin.com/pulse/when-tv-… Also on bsky @sctyner.bsky.social

Name a bigger lie. I'll wait.

This week's blog post: a summary of the @AmerHealthLaw podcast on managing algorithmic & AI bias in health care featuring myself, Brad Thompson and Chris Provan. I hope you'll give it a listen! #healthcare #AI #AIbias #healthlaw @sctyner90/ai-in-health-care-managing-algorithmic-bias-and-fairness-58f3eb71be05" target="_blank" rel="nofollow noopener">medium.com/@sctyner90/ai-…

#ICYMI Yesterday was the 10 year anniversary of the publication of "Tidy Data," the paper that sparked the #tidyverse. I have a deep appreciation for this paper and the tidyverse, and so I decided to celebrate it with my first Medium post. #rstats @sctyner90/10-lessons-from-tidy-data-on-its-10th-anniversary-dbe2195a82b7" target="_blank" rel="nofollow noopener">medium.com/@sctyner90/10-…

Upcoming webinar from @AmerHealthLaw on Managing Algorithmic Bias and Fairness in AI for Health Care. Register now! #HealthCare #AI #GenerativeAI educate.americanhealthlaw.org/local/catalog/…

Immensely honored to be featured in MIT Sloan Management Review with the fabulous and brilliant Cathy O'Neil and Jake Appel. #AI #ResponsibleAI

They also discuss applying red teaming and benchmarking to difficult-to-audit LLMs, before applying all four of the approaches to a real-life example to demonstrate how an algorithmic audit could have prevented a very public chatbot failure. (3/3)

The authors introduce two auditing frameworks — Ethical Matrix and Explainable Fairness — that can help organizations identify these potential risks and address critical questions about who could be harmed by algorithmic systems and how. (2/3)

Out in @mitsmr today: Auditing Algorithmic Risk (mit.edu) with Cathy O'Neil and Jake Appel of ORCAA (orcaarisk.com) We talk about assessing AI risks for both "traditional" AI and Generative AI, and provide a case study. #genAI #responsibleAI

I’m immensely proud of this work we did! Red teaming is a key part of gen AI safety.

Join us tomorrow!

Join our lineup of distinguished speakers for a broadcast on April 10 as they address concerns around the adoption of #AI tools in #healthcare and propose practical solutions: dlapiper.com/en-us/events/2… #artificialintelligence #AItesting @ONC_HealthIT @US_FDA @DukeInnovate

Check out our data-driven policy analysis of the implications of setting new prices for certain drugs under the Inflation Reduction Act. #Medicare #CMS

The @OECD has updated its definition of AI system. This new definition demonstrates the transformative power of #GenAI and anticipates further advancements towards #AGI.

(To be clear it is objectively a bad idea to try to use LLMs to generate random numbers for many reasons, but I was forced to consider it and now you are too.)

In case you've ever wondered, "Can I use LLMs to generate random numbers?" the answer is no. This does make me want to go down a rabbit hole of how LLMs interpret "randomness" though.....

On 2/6/2024, CMS expressed concerns for algorithms and artificial intelligence used by Medicare Advantage plans, in part, because they might rely on internal coverage criteria. CMS then warned: "We will be monitoring closely whether MA plans are utilizing and applying internal coverage criteria that are not found in Medicare laws, NCDs, or LCDs, and whether the internal coverage criteria are publicly accessible and coverage policies meet the regulatory requirements." The FAQ and the responses regarding algorithms and AI are striking and foreshadow future regulatory/compliance challenges for MA plans. The FAQ can be found here: cdn.arstechnica.net/wp-content/upl…

Check out our latest on red teaming your gen AI models!

This is going to be a fabulous conversation with Commissioner @KSonderlingEEOC and @aaronkbr on last month's impressive AI EO. I hope you can join us! #ArtificialIntelligence #lawtwitter