CONTACT FOR DEMO CLASS : (+91) 8951869553/52
CONTACT FOR DEMO CLASS : (+91) 8951869553/52
Course Start Date: TBD
Participants will examine and apply ethical principles in AI use for education by designing and evaluating responsible AI-supported teaching and learning practices. Key topics include AI bias, data privacy, transparency, academic integrity, and educational equity. Educators will also critically reflect on aligning AI tools with their existing classroom values, policies, and learning contexts, ensuring practical, responsible, and ethical integration of AI in teaching—all within the session itself.
Short micro-sessions focused on AI ethics in education, covering fairness, bias, transparency, and responsible use of generative AI in teaching and learning.
Learn through real educational AI ethics cases, classroom scenarios, and decision frameworks—no theory overload, only actionable insights.
Keep pace with evolving AI ethics frameworks, education policies, and regulations through continuously updated micro-learning content.
Flexible AI ethics micro-learning that fits seamlessly into professional development schedules without disrupting daily routines.
In this interactive micro session, educators, instructional designers, and edtech professionals will explore how to responsibly harness AI in educational settings while upholding ethical standards and maintaining learner trust. Participants will gain insights into key ethical considerations, challenges, and best practices for deploying AI in learning environments.
Through real-time case studies, scenario-based activities, and interactive discussions, attendees will learn how to identify AI bias, ensure transparency, protect learner data, and promote fairness in AI-powered educational tools. By the end of the session, participants will leave with practical guidelines, actionable checklists, and an ethical framework to implement AI responsibly, supporting meaningful, equitable, and trustworthy learning experiences for all students.
EarlyRise's AI Powered Ethics of AI in Education Micro Session Key Features
Apply ethical AI principles in educational settings.
Identify and reduce bias in AI teaching and assessment tools.
Protect student privacy and secure data in AI technologies.
Promote academic integrity with responsible AI use.
Make informed decisions on AI adoption in education.
Create a practical ethical action plan for AI implementation.
Customized to your team's needs
Key Learning Objective: Understand the reputational, legal, and pedagogical risks of unethical AI use in educational settings, and how ethical practices build trust among students, educators, and institutions.
Key Learning Objective: Learn practical strategies to embed fairness, transparency, privacy, and inclusivity into AI-powered learning tools.
Key Learning Objective: Build AI-assisted educational workflows that respect student privacy, obtain proper consent, and comply with regulations like FERPA and GDPR.
Key Learning Objective: Identify potential biases in AI-driven assessments, content personalization, or learning analytics, and implement strategies to mitigate them.
Key Learning Objective: Develop clear explanations for AI-generated content, assessments, and learning recommendations that students and teachers can understand and trust.
Key Learning Objective: Build transparent messaging about AI-powered learning tools to reduce skepticism, encourage adoption, and promote ethical use.
Key Learning Objective: Define roles, responsibilities, and simple processes to manage AI tools and content ethically at scale in schools, universities, or edtech platforms.
Key Learning Objective:Understand compliance requirements, accessibility standards, and institutional policies for AI in education.
4 Hours
4 Hours
Upon successful completion of the course, participants will receive a certificate from EarlyRise. This certificate is widely recognized and signifies that the holder has acquired specialized skills.
Get In Touch
Our team will be happy to assist you make the right decision
Leading industry professionals who bring current best practices and case studies to sessions that fit into your work schedule.
Our Course fees are very nominal and competitive. We provide Scholarship up to 50% time to time for eligible candidates.
This session is ideal for educators, instructional designers, school and university administrators, edtech professionals, and anyone looking to implement AI in education responsibly while ensuring fairness, transparency, and trust.
No prior experience is required. The session is designed for beginners as well as educators, instructional designers, and education professionals. All concepts, frameworks, and best practices are explained in a simple, practical, and classroom-ready manner, so participants can start applying AI responsibly in educational settings.
After completing this session, you will be able to apply ethical principles and best practices to implement AI responsibly in educational settings. You will gain practical workflows to ensure fairness, transparency, and privacy in AI-assisted teaching, assessments, and learning tools, while building trust and enhancing the overall learning experience.
It is highly practical. You will work on real-world educational scenarios, hands-on exercises, guided frameworks, and practical tools that can be directly applied to implement AI responsibly in teaching, assessments, and learning tools.
Yes. Participants receive ready-to-use ethical AI checklists, privacy and fairness templates, responsible implementation frameworks, and practical workflows that can be directly applied to AI-assisted teaching, learning, and assessment processes.
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