Ethics in AI

Building Trust and Responsibility in Artificial Intelligence

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MODE
Virtual (Google Meet)

TYPE
Mentor Based

LEVEL
Moderate

DURATION
3 Days

Start Date
25 -March -2025

Time
3:00 PM IST

About

The Ethics in AI workshop addresses the critical ethical issues surrounding the design, application, and impact of AI systems. Participants will explore topics such as fairness, bias, transparency, accountability, and the societal implications of AI technologies. Through case studies, discussions, and practical exercises, this workshop aims to equip individuals with the tools to promote ethical AI development and use.

Aim

To provide participants with a deep understanding of the ethical challenges and considerations in the development and deployment of Artificial Intelligence (AI), fostering responsible and fair AI practices.

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Workshop Objectives

To introduce participants to the foundational principles of AI ethics.
To analyze ethical challenges in various AI applications and industries.
To equip participants with tools to ensure fairness, transparency, and accountability in AI.
To explore global standards, regulations, and best practices for ethical AI.
To prepare participants for leadership roles in promoting ethical AI development and use.

Workshop Structure

Day 1: Foundations of AI Ethics

Introduction to AI Ethics
- What is AI ethics? Importance and scope
- Historical perspective on ethics in technology
Key Ethical Principles in AI
- Fairness: Addressing bias and ensuring inclusivity
- Transparency: Making AI decisions understandable
- Accountability: Assigning responsibility for AI actions
Ethical Challenges in Data Usage
- Data privacy and security in AI
- Ethical dilemmas in data collection and usage

Day 2: Ethical Challenges and Practical Applications

Ethics in Specific AI Applications
- Healthcare: Patient rights and AI-driven decisions
- Autonomous systems: Self-driving cars and drones
- Surveillance: Privacy concerns with facial recognition
Case Studies and Real-World Examples
- Analyzing ethical failures and successes in AI
- Group discussions on resolving ethical dilemmas
Designing Ethical AI Systems
- Developing an AI ethics framework for organizations
- Tools and guidelines for ethical AI implementation

Day 3: Global Perspectives and Future Directions

Global AI Ethics Standards and Regulations
- Comparing ethical guidelines from different regions
- Role of international organizations (e.g., UNESCO, OECD)
Future Trends in AI Ethics
- Emerging technologies and their ethical implications
- Governance and public participation in ethical AI
Final Exercise: Building Ethical AI Solutions
- Collaborative exercise to design ethical AI for a real-world challenge
- Presentation of solutions and peer feedback

Participant’s Eligibility

AI developers, data scientists, and technology professionals
Policymakers, regulators, and legal advisors
Educators, researchers, and students interested in AI ethics
Business leaders and decision-makers integrating AI into operations

Important Dates

Registration Ends

2025-03-25
Indian Standard Timing 2:00 PM

Workshop Dates

2025-03-25 to 2025-03-27
Indian Standard Timing 3:00 PM

Workshop Outcomes

Comprehensive understanding of ethical principles in AI development and deployment
Ability to identify and address ethical challenges in AI applications
Insights into global regulations and frameworks for ethical AI
Skills to design and implement AI systems that align with ethical standards
Preparedness to advocate for and lead responsible AI practices

Mentor Profile

Name: Miss Prakriti Sharma
Designation: AI Engineer
Affiliation: University of Delhi

Prakriti Sharma
AI Mentor | Founder @ Chaifluence | AI Ethics Advocate | Marketing Innovator
Prakriti Sharma is a dynamic leader and mentor in Artificial Intelligence, blending technical expertise with a passion for ethical AI. As the Founder of Chaifluence, she pioneers innovative influencer marketing strategies, leveraging AI to create authentic brand connections.
Currently an AI Engineer at Tata Consultancy Services, Prakriti collaborates with Google’s Business Unit to develop cutting-edge generative AI models, focusing on impactful, responsible technology solutions. With certifications like Google Cloud Professional Engineer and deep knowledge of AI ethics, she brings unparalleled insights to the domain.
A graduate of Delhi University, Prakriti excelled in computer science and held key leadership roles, including Robotics Club President. Her blend of technical acumen and leadership makes her a sought-after mentor, particularly for aspiring AI professionals and businesses navigating the AI landscape.
Prakriti’s mission is to drive AI innovation that aligns with societal values while inspiring others to harness AI’s transformative potential responsibly.

Fee Structure

Student

INR. 1999
USD. 45

Ph.D. Scholar / Researcher

INR. 2499
USD. 50

Academician / Faculty

INR. 2999
USD. 55

Industry Professional

INR. 4999
USD. 75

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
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