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Designed for teachers, this course addresses the application of AI in teaching, focusing on privacy, grading, and designing AI-resistant assignments. It explores using AI to enhance and personalize teaching and provide adaptive feedback, maintaining academic integrity.
Designed for K12 administrators, this course addresses ethical and legal frameworks (including FERPA), privacy, fairness, and transparency in AI applications. Leaders will craft institutional policies for AI use, with strategies for monitoring and auditing AI systems to ensure compliance.
Designed for students, this course covers AI fundamentals and its ethical use to enhance learning. It includes AI-generated content implications, plagiarism pitfalls, and using AI to develop critical thinking. Students will learn to evaluate AI information’s credibility and make informed decisions about its use.
Designed for university faculty, this course addresses the application of AI in teaching, focusing on privacy, grading, and designing AI-resistant assignments. It explores using AI to enhance and personalize teaching and provide adaptive feedback, maintaining academic integrity.
Designed for university administrators, this course addresses ethical and legal frameworks (including FERPA), privacy, fairness, and transparency in AI applications. Leaders will craft institutional policies for AI use, with strategies for monitoring and auditing AI systems to ensure compliance.
Designed for students, this course covers AI fundamentals and its ethical use to enhance learning. It includes AI-generated content implications, plagiarism pitfalls, and using AI to develop critical thinking. Students will learn to evaluate AI information’s credibility and make informed decisions about its use.
In this AI Ethics course tailored for university admissions teams, learners will delve into the intricate ethical landscape that accompanies the use of artificial intelligence in the admissions process. From understanding the foundational concepts of AI and how it can be deployed to optimize recruitment and evaluation processes, to grappling with complex ethical dilemmas, such as bias, fairness, transparency, and the impact on privacy—participants will gain a holistic view of the multifaceted roles AI can play.
EduPolicy.ai courses for K-12 Superintendents empower educational leaders with the knowledge and tools to navigate the complex landscape of AI integration in education. This course provides a deep understanding of the Ethical AI landscape and how to manage AI forward school districts, allowing superintendents to make informed policy and ethics decisions that prioritize student privacy, equity, and fairness.
By focusing on best practices and real-world applications, EduPolicy.ai helps superintendents develop strategic plans to leverage AI through enhanced learning outcomes, streamline administrative processes, and fostering a culture of innovation and ethical responsibility within their districts. Through interactive modules and expert-led discussions, superintendents gain the skills to lead their schools confidently into the future of AI-enhanced education.
Dive into the complex world of AI with our cutting-edge AI Ethics course, designed to empower you with the critical skills needed to navigate and shape the ever-evolving AI landscape. This course equips you with a robust toolkit to analyze and address ethical dilemmas in AI, fostering your ability to preemptively identify and mitigate potential ethical issues.
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Mon | 09:00 – 17:00 | |
Tue | 09:00 – 17:00 | |
Wed | 09:00 – 17:00 | |
Thu | 09:00 – 17:00 | |
Fri | 09:00 – 17:00 | |
Sat | Closed | |
Sun | Closed |
Level up your organization’s AI strategy with EduPolicy.ai
Discover how cutting-edge policy frameworks, professional course design, and tailored workshops can transform your organizational approach to AI Ethics and Governance.
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