Entvin (YC S22) reposted this
🚀 AI as a Black Box: Groundedness and Traceability in Life Sciences 🌿🤖 In life sciences, accuracy is not just important—it's critical. Whether we're developing new treatments or making vital research breakthroughs, we need to be absolutely sure about the data and the decisions derived from it. That's where the challenge of AI being a "black box" comes in. When AI models provide results without clear explanations, it limits trust and hampers adoption, especially in a field like life sciences where transparency and traceability are essential. Imagine making a clinical decision based on an algorithm whose reasoning we can’t trace—risky, right? 🚫 At Entvin (YCS22) we have been working on a solution that demystifies this "black box" by providing references for all AI-generated answers, with highlighted answers in screenshots for easy validation. This ensures that every AI-driven insight is grounded in credible sources, making the AI's decision-making process transparent and traceable. 🔬 Why is this important? Trust: Builds confidence in AI's decisions. Accountability: Easily trace back steps and sources. Compliance: Essential for regulated industries like life sciences. Grounded and traceable AI is not just the future—it’s the present. Let’s ensure that AI continues to innovate while being reliable and transparent. What challenges have you faced while working with different LLM models? I'd love to hear your thoughts, and feel free to reach out if you have any questions! #AI #LifeSciences #Innovation #GroundedAI #Traceability #TrustInAI #AIInHealthcare #Transparency #AIforGood
