Responsible AI

Responsible AI is a critical approach to developing and using artificial intelligence systems ethically and beneficially for society. Coursera's Responsible AI catalogue teaches you the fundamental principles of mitigating unfair biases, ensuring transparency, and maintaining human oversight in AI applications. You'll learn to apply frameworks for assessing AI harms, recognize potential security and privacy risks, and implement best practices for deploying AI responsibly in workplace scenarios. Mastering Responsible AI empowers you to create and use AI systems that are trustworthy, aligned with human values, and capable of driving innovation while safeguarding against unintended negative consequences.
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1online degree
637courses

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Results for "responsible ai"

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    Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming

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    Skills you'll gain: Data Strategy, Customer Relationship Management (CRM) Software, Data Management, AI Personalization, Customer Relationship Management, Sales Enablement, Feature Engineering, Data Governance, Responsible AI, Data Quality, Strategic Decision-Making, Data-Driven Decision-Making, Customer Data Management, Data Ethics, Business Intelligence, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Reinforcement Learning, Natural Language Processing

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