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AI Ethics and Responsible Usage

Activities based AI Micro session with measurable outcomes.

Course Start Date: TBD

Participants will gain a clear understanding of ethical considerations in Artificial Intelligence and learn how to use AI responsibly, safely, and transparently in real-world applications.

AI Ethics and Responsible Usage


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AI Ethics and Responsible Usage
Overview

This course provides an in-depth exploration of ethical considerations surrounding the design, deployment, and use of Artificial Intelligence systems. Participants will examine how AI decisions can impact individuals, organizations, and society, and why responsible usage is essential in today’s data-driven world.The course highlights key ethical challenges such as bias, fairness, transparency, privacy, and accountability, helping learners recognize potential risks and unintended consequences of AI adoption.

Through practical examples, discussions, and real-world case studies, participants will learn how to evaluate AI outputs critically, question model behavior, and apply ethical reasoning in everyday AI interactions.By the end of the course, participants will be equipped with a strong ethical mindset, practical guidelines, and decision-making frameworks to ensure AI technologies are used responsibly, fairly, and in alignment with organizational and societal values.


EarlyRise's AI Ethics and Responsible Usage Micro Session Key Features
  • Core principles of ethical and responsible AI usage
  • Understanding bias, fairness, and inclusivity in AI systems
  • Data privacy, consent, and responsible data handling
  • Transparency, explainability, and accountability in AI decisions
  • Identifying risks, limitations, and unintended consequences of AI


Session Information
  • Session Date :  TBD
  • Time :  TBD
  • Duration :  4 Hours
  • Levels :  Beginner
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Benefits for Participants:

skill Develop a strong ethical foundation for using AI responsibly

skill Learn to identify and mitigate bias and fairness issues in AI outputs

skill Gain awareness of data privacy and responsible data practices

skill Build confidence in evaluating AI-generated information critically

skill Apply ethical decision-making frameworks in real-world AI use cases

skill Enhance career readiness with practical, future-relevant AI skills

Micro Session Participants Enrollment Options

Online Micro Session

1000
  • Learn in an instructor-led online Micro session class
  • One to one mentorship for doubt resolution
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Classroom Micro Session

1500
  • Classroom based Micro session
  • One to one mentorship for doubt resolution

Corporate Session Customized Based On Your Requirements

Customized to your team's needs

  • Customized learning delivery model (self-paced and/or instructor-led)
  • Flexible pricing options


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Session Structure: AI Ethics and Responsible Usage

What is AI Ethics?

Key Learning Objective: Understand the importance of ethics in AI systems and why responsible AI development and usage matter in real-world contexts.

Hands-on: Identify ethical vs unethical uses of AI from real-world examples.
Why Ethics Matter in AI Systems?

Key Learning Objective: Recognize the social, legal, and human impact of AI-driven decisions across industries.

Hands-on: Analyze real-world AI case studies to identify ethical concerns.
Understanding Bias in AI Systems

Key Learning Objective: Identify different types of bias in data, models, and decision-making processes.

Hands-on: Examine sample datasets to spot potential sources of bias.
Fairness, Transparency & Accountability

Key Learning Objective: Understand how fairness and accountability can be designed into AI systems.

Hands-on: Evaluate an AI scenario to assess fairness and transparency risks.
Data Privacy & Protection in AI Systems

Key Learning Objective: Understand how personal and sensitive data should be handled in AI applications.

Hands-on: Identify data privacy risks in a given AI workflow.
Change Request Impact

Key Learning Objective: Recognize common security risks, misuse scenarios, and mitigation strategies in AI systems.

Hands-on: Map potential misuse cases and propose mitigation actions.
Responsible AI Practices in Real-World Systems

Key Learning Objective: Apply ethical principles to the design, deployment, and monitoring of AI systems.

Hands-on: Evaluate an AI use case and identify responsible implementation practices.
Summary, Reflection & Action Plan

Key Learning Objective: Consolidate ethical understanding and create a personal or organizational action plan for responsible AI adoption.

Hands-on: Define actionable steps to apply ethical AI principles in real-world projects.
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Micro Session Module



Estimated Course Duration

4 Hours



Learners Commitment

4 Hours



Course Structure

TOOLS TO COVER

google gemini
IBM AI fairness
evidentlyAi
google colab


certificate

Micro Crediential Certificate From EarlyRise

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.

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Micro Session Fee and Payment Method

Program Fee : Rs. 1000 + 18% GST = Rs. 1180

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Candidates can pay the program fee through Netbanking, Credit/Debit cards, Cheque or DD

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Why learn AI Requirements from EarlyRise?

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Nominal Course Fee

Our Course fees are very nominal and competitive. We provide Scholarship up to 50% time to time for eligible candidates.

FAQ's

This session is ideal for anyone using or planning to use AI in professional, academic, or business environments.

Ethical AI ensures fairness, transparency, privacy, and responsible decision-making when using AI systems.

You’ll learn about bias, data privacy, responsible AI usage, ethical risks, and real-world case studies.

No. It focuses on awareness, decision-making, and responsible usage rather than technical implementation.

Yes. You’ll be able to use AI responsibly, identify risks, and make informed ethical decisions in professional environments.

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AI Ethics and Responsible Usage Micro Session

  • Understand the core principles of AI ethics, including fairness, accountability, transparency, and responsibility
  • Learn how bias can enter AI systems and how to identify and reduce its impact
  • Recognize the importance of data privacy, consent, and secure data handling
  • Evaluate AI outputs for accuracy, reliability, and potential harm
  • Understand the limitations of AI systems and avoid over-reliance on automated decisions
  • Develop responsible decision-making practices by understanding when and how to involve human judgment alongside AI systems