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Virtual Workshop

AI and Ethics: Governance and Regulation

Navigating the Future of AI with Integrity: Mastering Ethics, Governance, and Regulation

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Early access to e-LMS included

  • Mode: Virtual (Google Meet)
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 3 Days

About This Course

This three-day workshop focuses on the critical intersection of AI and ethics, governance, and regulation. Participants will explore ethical principles, examine real-world case studies, and understand the global regulatory landscape. Each day combines theoretical insights with practical sessions, allowing attendees to apply ethical frameworks and develop governance strategies. By the end of the workshop, participants will be equipped to address ethical challenges in AI, understand regulatory requirements, and stay ahead of emerging trends in AI governance.

Aim

The aim of the workshop is to provide participants with a deep understanding of the ethical, governance, and regulatory aspects of artificial intelligence. The workshop is designed to equip attendees with the knowledge and skills necessary to navigate the complex ethical landscape of AI and implement effective governance frameworks.

Program Objectives

  • Understand the foundational ethical principles in AI.
  • Analyze real-world ethical dilemmas in AI applications.
  • Learn about the global regulatory landscape for AI and its implications.
  • Develop governance frameworks and best practices for AI projects.
  • Explore emerging trends and challenges in AI ethics and governance.
  • Enhance problem-solving skills through hands-on ethical analysis and framework development.
  • Promote interdisciplinary collaboration to address ethical issues in AI.
  • Prepare for leadership roles in AI ethics, governance, and regulation.
  • Equip participants with practical skills to implement ethical AI practices in their organizations.

Program Structure

Day 1: Introduction to AI Ethics

  • Overview of ethical principles in AI
  • Case studies: Ethical dilemmas in AI applications
  • Hands-on session: Ethical analysis of an AI case study

Day 2: Governance and Regulation in AI

  • Regulatory landscape for AI: Global perspectives
  • Governance frameworks and best practices
  • Hands-on session: Developing an ethical framework for an AI project

Day 3: Future Trends and Challenges in Ethical AI

  • Emerging trends in AI ethics and governance
  • Challenges in implementing ethical AI practices
  • Future research directions and interdisciplinary collaboration

Who Should Enrol?

  • AI professionals seeking to incorporate ethical practices into their work.
  • Policymakers and regulators interested in understanding AI governance.
  • Academics and researchers focused on AI ethics and regulation.
  • Technology leaders and managers responsible for AI implementation.
  • Ethics officers and compliance professionals in AI-driven organizations.
  • Anyone with a keen interest in the ethical implications of AI technology.

Important Dates

Registration Ends

08/19/2024
IST IST 03:00

Program Dates

08/19/2024 – 08/21/2024
IST IST 05:00 PM

Program Outcomes

  • Have a thorough understanding of the core ethical principles in AI.
  • Be able to analyze and address ethical dilemmas in AI applications.
  • Gain insight into the global regulatory landscape for AI.
  • Develop skills to create and implement governance frameworks for AI projects.
  • Understand emerging trends and challenges in ethical AI practices.
  • Be prepared to navigate the complexities of AI governance and regulation.
  • Be equipped to promote ethical AI practices within their organizations.
  • Enhance their ability to collaborate across disciplines to address ethical issues in AI.
  • Receive a certificate of completion, demonstrating their expertise in AI ethics and governance.

Meet Your Mentor(s)

Mentor Photo

Gurpreet Kaur

Assistant Professor
UIC Department, Chandigarh University

Mrs. Gurpreet Kaur holds an MCA degree from Punjab Technical University (2010) and has over 7 years of IT industry experience as a Senior Software Developer in various companies. Her expertise lies in front-end technologies, data structures, and algorithms (DSA).

Fee Structure

Student

₹1399 | $50

Ph.D. Scholar / Researcher

₹1699 | $55

Academician / Faculty

₹2199 | $60

Industry Professional

₹2699 | $85

We accept 20+ global currencies. View list →

What You’ll Gain

  • Full access to e-LMS
  • Real-world dry lab projects
  • 1:1 project guidance
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate & e-Marksheet

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