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Get an Overview of AI EthicsThis introductory course on AI ethics provides a comprehensive overview of ethical considerations in the fast-paced domain of artificial intelligence. The course spans industry, policy-making, academia, and society at large, covering principles of AI ethics, strategies to foster fair and equitable AI systems, approaches to minimize biases, and methods to address key issues and establish user trust.
Ethical Principles and ChallengesThroughout the course, you will learn about the core principles of ethical AI and expand your understanding of common challenges and opportunities in the field of AI ethics. Through hands-on exercises, you will build your skills to craft ethical AI by design. Begin Learning today!
Approaching AI EthicsFree
Understand the foundations of AI Ethics and observe some of the challenges of the ethical use of AI.
Below the Surface: AI Ethics
Unpack the core principles of AI Ethics and discover a promising technique, explainable AI (XAI), that can integrate these principles into many AI systems.Unpacking the blackbox: Transparency50 xpTransparent AI system50 xpTransparency best practices100 xpAI fairness: not just a dream50 xpTackling fairness issue50 xpCan we make things right?100 xpSafeguarding AI: Accountability50 xpAccountability common misconceptions50 xpWho's responsible?100 xpExplainable AI50 xpHow would you apply XAI?50 xpThe perfect match100 xp
The Way Forward: AI Ethics
Discover the value ethical frameworks present to organizations of all sizes and prepare yourself to tackle tomorow's ethical challenges with AI ethics by design.
In the following tracksAI Fundamentals
Joe FranklinSee More
Associate Data Literacy and Essentials Manager, DataCamp
Joe received a Master of Science in Predictive Analytics from Northwestern University that he paired with a passion for education to become a stand-out expert in the field of Data Literacy. He is passionate about unlocking the data potential within everyone to succeed in the evolving digital world.