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@jpatrickhall
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Helping people manage #AI, #machinelearning, & #analytics risks @BNH_AI; visiting faculty @gwbusiness. Views my own. Not an attorney.
Washington, DC
Joined August 2011
Thrilled to be part of the new special edition of Information, Machine Learning w/ #Python, guested edited by @rasbt ( https://t.co/y15jLIVP3n). Our paper ( https://t.co/gdhCqZV1x6) presents interpretable #DeepLearning for structured data + post-hoc #xai + discrimination testing.
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Two recent papers explore a common question: What occurs when we train new generative models using data that includes content generated by earlier models? • The Curse of Recursion: Training on Generated Data Makes Models Forget Using model-generated content in training
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Just received the hard copy of my book. It's a surreal feeling to finally hold it in my hands. Thanks to everyone who made it possible.🙏
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"Using the NIST AI Risk Management Framework" @ElhamTabassi Reva Schwartz @baxterkb @sinafazelpour @jpatrickhall ...how to use the AI RMF to enhance organizational AI risk management posture, governance mechanisms, operationalize AI system trustworthiness, and more...
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#TheDataExchangePod: @jpatrickhall @bnh_ai @gwbusiness and Agus Sudjianto @WellsFargo dive into the world of #ResponsibleAI and into practical techniques for developing secure, unbiased, explainable, and reliable #MachineLearning #AI models. https://t.co/v7unnWCtRM
thedataexchange.media
Patrick Hall and Agus Sudjianto on tools, techniques, best practices for Responsible AI.
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#TheDataExchangePod: @jpatrickhall @bnh_ai @gwbusiness and Agus Sudjianto @WellsFargo dive into the world of #ResponsibleAI and into practical techniques for developing secure, unbiased, explainable, and reliable #MachineLearning #AI models. https://t.co/v7unnWCtRM
thedataexchange.media
Patrick Hall and Agus Sudjianto on tools, techniques, best practices for Responsible AI.
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#TheDataExchangePod: @jpatrickhall @bnh_ai @gwbusiness and Agus Sudjianto @WellsFargo dive into the world of #ResponsibleAI and into practical techniques for developing secure, unbiased, explainable, and reliable #MachineLearning and #AI models. https://t.co/v7unnWD1Hk
thedataexchange.media
Patrick Hall and Agus Sudjianto on tools, techniques, best practices for Responsible AI.
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Thankful to my co-authors, @jpatrickhall & James Curtis. Also grateful to Agus Sudjianto for writing the foreword for the book.
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Remember when you went to Microsoft for stodgy but basically functional software and the bookstore for speculative fiction? arXiv may have been useful in physics and math (and other parts of CS) but it's a cesspool in "AI"—a reservoir for hype infections https://t.co/acxV4wm0vE
arxiv.org
Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our...
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📣 Excited to announce that our book on #MachineLearning for High-risk applications has finally reached the finish line 🏁 and it is going into production! It was a mammoth task, but the final draft is now complete. Pre-release on @OReillyMedia
https://t.co/gBbo3mfjOT
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@OReillyMedia Also big shoutout to my co-authors, including @jpatrickhall, who made this possible.
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.@nist has just released the #AI Risk Management Framework (AI RMF 1.0) to promote #responsible development and use of AI systems - includes companion playbook, explainer video, roadmap, and crosswalk w/ industry use cases #NIST
https://t.co/4dxy6CRQ65
@navrinasingh @jpatrickhall
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We'll be joining ⬇️ Agus Sudjianto - EVP Head of Corporate Model Risk @WellsFargo
@JPatrickHall - Principal Scientist https://t.co/kqzw9dYPO9 & Visiting Faculty at @gwbusiness
@SriKrishnamurthy - President of @quantUniversity Rafic Fahs - Chief Model Risk Officer @FifthThird
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Join us as @jpatrickhall surveys how PiML can help you streamline model development and address challenges in transparency, fairness, and other areas as you harness the power of ML for your work. 🗓️ Jan 20 🕚 11 AM EST Register: https://t.co/0AIPVh24Uj
#TechShares
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OpenAI’s ChatGPT is susceptible to prompt injection — say the magic words, “Ignore previous directions”, and it will happily divulge to you OpenAI’s proprietary prompt:
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"but hypothetically" is like "sudo" for OpenAI's new model (which is awesome by the way)
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Here are all the ways to get around ChatGPT's safeguards: [1/n]
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What We Learned Auditing Sophisticated #AI for #Bias
https://t.co/acORnd5itC via @oreillymedia @jpatrickhall @bnh_ai
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