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AI Ethics and Policy Development Course

Original price was: INR ₹10,998.00.Current price is: INR ₹5,499.00.

Course Overview

This self-paced course explores the ethical dimensions of AI, focusing on critical issues like privacy, bias, accountability, and policy development. Participants will learn how to create and implement ethical frameworks and policies that guide the responsible use of AI technologies across various sectors.

AI Ethics and Policy Development Program
Empowering Ethical AI for a Fairer Future

Course Overview

This self-paced course explores the ethical dimensions of AI, focusing on critical issues like privacy, bias, accountability, and policy development. Participants will learn how to create and implement ethical frameworks and policies that guide the responsible use of AI technologies across various sectors.

Course Goals

The aim of this program is to equip PhD scholars and academicians with the knowledge and skills necessary to develop and enforce ethical AI policies. The course ensures that AI technologies are deployed responsibly and fairly, safeguarding the interests of all stakeholders.

Program Objectives

  • Understand the foundational ethical principles in AI.
  • Identify and mitigate bias in AI systems.
  • Develop AI policies that prioritize privacy and accountability.
  • Analyze case studies to apply ethical frameworks effectively.
  • Ensure AI systems comply with regulatory standards and ethical guidelines.

Program Structure

Module 1: Introduction to AI Ethics

  • Overview of Ethical Principles in AI.
  • Historical Context and Evolution of AI Ethics.
  • Key Ethical Theories and Their Applications in AI.

Module 2: Privacy and Data Protection

  • Fundamentals of Data Privacy.
  • Legal Frameworks and Regulations for Data Protection.
  • Techniques for Ensuring Data Privacy in AI Systems.

Module 3: Bias in AI Systems

  • Understanding and Identifying Bias in AI.
  • Methods for Mitigating Bias in Machine Learning Models.
  • Case Studies of Bias in AI and Lessons Learned.

Module 4: Accountability and Transparency

  • Defining Accountability in AI.
  • Strategies for Enhancing Transparency in AI Development.
  • Tools and Frameworks for Auditing AI Systems.

Module 5: Ethical Policy Formulation

  • Steps for Creating Ethical AI Policies.
  • Integrating Ethical Considerations into AI Development Processes.
  • Best Practices for Policy Implementation and Enforcement.

Module 6: Case Studies in Ethical AI

  • In-depth Analysis of Real-World Ethical Dilemmas in AI.
  • Success Stories of Ethical AI Deployment.
  • Discussion of Ethical Failures and Their Consequences.

Module 7: Regulatory Compliance and Standards

  • Overview of Global AI Regulations and Standards.
  • Ensuring Compliance with Legal and Ethical Standards.
  • Future Trends in AI Regulation.

Module 8: Practical Applications and Tools

  • Ethical AI Toolkits and Resources.
  • Hands-on Projects and Exercises in Ethical AI.
  • Case Studies of Ethical AI Applications in Various Industries.

Eligibility

  • This course is ideal for AI researchers, policymakers, ethics scholars, legal professionals, data scientists, and IT managers who are interested in promoting ethical AI practices and governance.

Learning Outcomes

  • Develop comprehensive AI policies that ensure ethical standards.
  • Implement ethical AI practices in various applications.
  • Ensure AI systems are fair, transparent, and accountable.
  • Conduct thorough ethical analyses of AI applications.
  • Lead initiatives in AI governance, policy formulation, and compliance.

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Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

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