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Join us for a webinar with Christopher Pinard, DVM, DVSc, DACVIM (Oncology):
Beyond Accuracy: Evaluating and Choosing Ethical AI Tools
Artificial intelligence is rapidly transforming veterinary medicine, but how do we know which tools to trust? This session challenges the conventional focus on “accuracy” and explores deeper measures of model performance, fairness, and reliability. Using real-world examples from veterinary oncology and clinical applications, we will examine the pitfalls of overfitting, class imbalance, and misleading metrics like overall accuracy. Attendees will learn how to critically assess AI claims using frameworks such as AUROC and LLM evaluation benchmarks, and how to ask the right questions when adopting or purchasing AI systems — including validation, bias mitigation, data privacy, and transparency. The talk also introduces emerging regulatory discussions and practical steps to ensuring ethical AI integration in practice.
Artificial intelligence is rapidly transforming veterinary medicine, but how do we know which tools to trust? This session challenges the conventional focus on “accuracy” and explores deeper measures of model performance, fairness, and reliability. Using real-world examples from veterinary oncology and clinical applications, we will examine the pitfalls of overfitting, class imbalance, and misleading metrics like overall accuracy.
Attendees will learn how to critically assess AI claims using frameworks such as AUROC and LLM evaluation benchmarks, and how to ask the right questions when adopting or purchasing AI systems — including validation, bias mitigation, data privacy, and transparency. The talk also introduces emerging regulatory discussions and practical steps to ensuring ethical AI integration in practice.
About the presenter:
Christopher Pinard, DVM, DVSc, DACVIM (Oncology) is a veterinary medical oncologist, researcher, and entrepreneur based in Toronto, Canada. He is the CEO and co-founder of ANI.ML Health, a research-focused company and laboratory developing AI-driven solutions for veterinary healthcare, and the founder of the Toronto Animal Cancer Centre, an advanced oncology and imaging facility. Dr. Pinard holds affiliations with the University of Guelph’s Centre for Advancing Responsible and Ethical AI (CARE-AI) and served on the ACVIM AI Task Force, focusing on responsible integration of machine learning and large language models into veterinary practice. His research spans natural language processing, radiomics, and the evaluation of AI models in clinical decision-making. Through his dual roles in clinical oncology and AI innovation, Dr. Pinard advocates for ethical, transparent, and evidence-based adoption of artificial intelligence across veterinary medicine.
Christopher Pinard, DVM, DVSc, DACVIM (Oncology) is a veterinary medical oncologist, researcher, and entrepreneur based in Toronto, Canada. He is the CEO and co-founder of ANI.ML Health, a research-focused company and laboratory developing AI-driven solutions for veterinary healthcare, and the founder of the Toronto Animal Cancer Centre, an advanced oncology and imaging facility.
Dr. Pinard holds affiliations with the University of Guelph’s Centre for Advancing Responsible and Ethical AI (CARE-AI) and served on the ACVIM AI Task Force, focusing on responsible integration of machine learning and large language models into veterinary practice. His research spans natural language processing, radiomics, and the evaluation of AI models in clinical decision-making.
Through his dual roles in clinical oncology and AI innovation, Dr. Pinard advocates for ethical, transparent, and evidence-based adoption of artificial intelligence across veterinary medicine.
About the AVI Webinar Series: The purpose of the AVI Webinar Series is to provide a vendor-agnostic forum for education and networking. Join us to learn from academic, industry, and government organizations who are using information technology and data science to improve the lives of animals and veterinary healthcare teams.
Contact Pam Okerholm, AVI Secretary with any questions at secretary@avinformatics.org
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