Art of the Possible: Showcasing Data Science Solutions for a Better World
Showcasing data science solutions for social good: challenges, approaches, and impact. Explores ethical AI, civic engagement, and inclusive design for systemic change in humanitarian and environmental sectors.
Data Analytics and Generative AI
Explore how generative AI revolutionizes data analytics, streamlining tasks, transforming workflows, and ensuring ethical practices. Gain practical insights and real-world applications for data professionals.
Designing Machine Learning Processes for Equitable Health Systems
Explore machine learning processes for equitable health systems with MIT professor Dr. Marzyeh Ghassemi. Learn about innovative approaches to improve healthcare through AI and data science.
Talent and Tech - Embracing Collaboration with AI for Workplace Success
Explore AI's impact on work with Joey Price. Learn how to embrace AI as an ally, address ethical concerns, and create exciting workplaces that prioritize human potential and worker well-being.
Grassroots Responsible AI - Operationalizing AI Ethics
Operationalize responsible AI using ML observability techniques. Implement model transparency, analyze effects of changes, and use explainability to determine issues. Gain insights from thought leaders on ethical AI approaches.
Leveraging ChatGPT and Copilot in Long-Term Projects
Explore AI integration in development projects using ChatGPT and Copilot. Learn prompting techniques, best practices, and ethical considerations for leveraging AI tools effectively.
Machine Learning for the 99%
Strategies for small and medium-sized organizations to overcome challenges and implement machine learning in real-world applications, focusing on product definition, data, deployment, and ethics.
AI Explainability 360 - First Half of the Tutorial
Explore AI Explainability 360 toolkit: understand machine learning models, enhance transparency, and gain insights into AI decision-making processes for more responsible and ethical AI applications.
Responsible AI- From Principles to Practice
Explore ethical AI implementation, from principles to practice, focusing on healthcare considerations and practical tools for responsible AI throughout the development lifecycle.
How to Build Trustworthy AI with Open Source
Explore open-source tools for building trustworthy AI systems, focusing on robustness, fairness, and explainability to ensure ethical and responsible AI development.
Fairness in Machine Learning - From Theory to Practice
Explore fairness in machine learning, addressing bias, measurement metrics, and regulatory considerations to ensure ethical and just AI implementation.
Unleash the Power of Large AI with a Responsible Approach on Azure
Explore responsible AI implementation on Azure, focusing on leveraging large-scale AI models while adhering to ethical guidelines and best practices.
Ethical Artificial Intelligence to Advance Welcoming Communities and Identify Potential Communication That Degrades Community Welcomingness
Explore ethical AI applications for fostering inclusive communities and detecting unwelcoming communication, enhancing overall community health and engagement.
Mitigating Bias in Models with SHAP and Fairlearn
Learn techniques to identify and mitigate bias in machine learning models using SHAP and Fairlearn, enhancing fairness and transparency in AI systems.
Beyond Automation: Using AI for Good
Exploring AI's potential for societal advancement, ethical considerations, and future implications beyond automation, featuring insights from industry experts and policymakers.
Balancing AI's Productivity Boost with Ethical Considerations in Cloud-Native
Explore K8sGPT's potential to enhance cloud-native observability and issue triage using AI, while considering ethical implications and accessibility for newcomers.
Inclusion and AI: Harnessing Inclusion for an Innovative Future
Explore the intersection of diversity, inclusion, and AI with Microsoft experts. Learn how to build inclusive AI systems that benefit all of society and create innovative, thriving teams.
AI is Your New Design Material
Explore AI's impact on UX and product design, learning to leverage machine-generated content as a design material. Discover techniques to create innovative services and improve existing products using AI responsibly.
The Cost of Democratization - Open Source and the Future of Ethical Use
Explore the ethical implications of open-source AI, focusing on responsible development, legal challenges, and societal impacts in this thought-provoking keynote by Dr. Rumman Chowdhury.
Ethical Implications of Generative Music AI - Lecture 5
Explore ethical challenges of generative music AI: copyright issues, musician displacement, energy use. Learn golden rules, legal implications, and potential future regulations in this thought-provoking discussion.
Building Ethical AI: The Power of Open Source and Education
Explore the fusion of Trusted AI, Responsible AI, and Generative AI education grounded in Open-Source principles for an ethical, equitable, and accessible AI future.