Introduction to Responsible AI In Product Development | Community Webinar скачать в хорошем качестве

Introduction to Responsible AI In Product Development | Community Webinar

This tutorial will give an overview of building a responsible AI and the best practices for product development. Everyone seems to be talking about responsible AI these days—but what does “responsible” actually mean, and how should AI/ML product teams incorporate ethics into the development lifecycle? This talk will focus on the organizational processes that support the development of responsible AI systems. It will cover the key features of responsible AI that are important to evaluate at each stage of the development lifecycle, and how we can operationalize abstract concepts like fairness into concrete assessment plans. Ian Eisenberg will share best practices from the field and tactical approaches that you can begin using today. He will focus on “fairness” as an exemplar of Responsible AI considerations, and describe the process through which a team can go from contextualizing their AI system to assessing it. Table of Contents: 00:00 Introduction 03:05 Broadening our focus: Responsible AI 06:45 Principles to Practices- Operationalizing Responsible AI 09:14 Responsible AI considerations need to be integrated into the ML development lifecycle 10:34 Designing Responsible AI Systems 13:36 Developing Responsible AI Systems 15:42 Deploying Responsible AI Systems 26:19 Open Source Responsible AI Assessment tools 33:20 Demo 39:45 QnA -- Credo AI Lens Github: https://github.com/credo-ai/credoai_lens Credo AI Lens Docs: https://credoai-lens.readthedocs.io/e... -- For more captivating community talks featuring renowned speakers, check out this playlist:    • Community Webinars   To gain a better understanding of what data scientists do and how they work, check out this playlist:    • Careers in AI | Webinar Compilation   -- At Data Science Dojo, we believe data science is for everyone. Our data science trainings have been attended by more than 10,000 employees from over 2,500 companies globally, including many leaders in tech like Microsoft, Google, and Facebook. For more information please visit: https://hubs.la/Q01Z-13k0 💼 Learn to build LLM-powered apps in just 40 hours with our Large Language Models bootcamp: https://hubs.la/Q01ZZGL-0 💼 Get started in the world of data with our top-rated data science bootcamp: https://hubs.la/Q01ZZDpt0 💼 Master Python for data science, analytics, machine learning, and data engineering: https://hubs.la/Q01ZZD-s0 💼 Explore, analyze, and visualize your data with Power BI desktop: https://hubs.la/Q01ZZF8B0 -- Unleash your data science potential for FREE! Dive into our tutorials, events & courses today! 📚 Learn the essentials of data science and analytics with our data science tutorials: https://hubs.la/Q01ZZJJK0 📚 Stay ahead of the curve with the latest data science content, subscribe to our newsletter now: https://hubs.la/Q01ZZBy10 📚 Connect with other data scientists and AI professionals at our community events: https://hubs.la/Q01ZZLd80 📚 Checkout our free data science courses: https://hubs.la/Q01ZZMcm0 📚 Get your daily dose of data science with our trending blogs: https://hubs.la/Q01ZZMWl0 -- 📱 Social media links Connect with us:   / data-science-dojo   Follow us:   / datasciencedojo   Keep up with us:   / data_science_dojo   Like us:   / datasciencedojo   Find us: https://www.threads.net/@data_science... -- Also, join our communities: LinkedIn:   / 13601597   Twitter:   / 1677363761399865344   Facebook:   / aiandmachinelearningforeveryone   Vimeo: https://vimeo.com/datasciencedojo Discord:   / discord   _ Want to share your data science knowledge? Boost your profile and share your knowledge with our community: https://hubs.la/Q01ZZNCn0 #responsibleai #productdevelopment #llm #generativeai