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  • Is AI Better than Bacon?

    Is artificial intelligence better than bacon? One crunches data, the other crunches joy. This playful, slightly unscientific showdown pits algorithms against cured pork and bacon still wins.

    Artificial-Intelligence.Blog23 min read

  • 100% Unemployment is Inevitable*

    As AI rapidly reshapes white-collar work, early data already shows rising unemployment in the most exposed industries, raising the provocative question of whether certain knowledge-worker roles are ultimately destined for 100 percent automation as AI accelerates toward AGI.

    Artificial-Intelligence.Blog13 min read

  • RAISE 2025 Panel Statement on Aligning AI to Clinical Values

    Recently, I attended the Responsible AI for Social and Ethical Healthcare 2025 “2.0” Symposium organized by, among others, Harvard Medical School. The symposium featured various panels on topics surrounding generative AI, in particular multimodal LLMs, in healthcare.

    David Stutz - Paper Reviews5 min read

  • We Live in an AI-First World

    We are already living in an AI-first world where search, work, creativity, communication, health, and education are being quietly but radically transformed.

    Artificial-Intelligence.Blog16 min read

  • How to Become Immortal Using AI?

    To achieve digital immortality, begin compiling a rich dataset of your personal writings, voice recordings, and videos to enable AI to recreate your personality and presence for future interactions.

    Artificial-Intelligence.Blog7 min read

  • Thoughts and Lessons for Planning Rater Studies in AI

    With the goal of deploying generative AI systems, rater studies are becoming increasingly common and important. This means more and more researchers and engineers face the challenge of actually planning and conducting rater studies for AI systems.

    David Stutz - Paper Reviews12 min read

  • Open-Sourcing Relabeled MedQA and Dermatology DDx Datasets

    Dealing with rater disagreement is becoming more important in AI, especially for LLMs and in specialized domains such as health. In the past year, I helped open source two datasets allowing to study rater disagreement in the health domain: a relabeling of MedQA, a key benchmark for evaluating…

    David Stutz - Paper Reviews7 min read

  • Computer-aided diagnosis for lung cancer screening

    Lung cancer is the leading cause of cancer-related deaths globally with 1.8 million deaths reported in 2020. Late diagnosis dramatically reduces the chances of survival.

    Google Research (Legacy)9 min read

  • SCIN: A new resource for representative dermatology images

    Health datasets play a crucial role in research and medical education, but it can be challenging to create a dataset that represents the real world. For example, dermatology conditions are diverse in their appearance and severity and manifest differently across skin tones.

    Google Research (Legacy)6 min read

  • Health-specific embedding tools for dermatology and pathology

    There’s a worldwide shortage of access to medical imaging expert interpretation across specialties including radiology, dermatology and pathology. Machine learning (ML) technology can help ease this burden by powering tools that enable doctors to interpret these images more accurately and…

    Google Research (Legacy)8 min read

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