Ethics in AI
Building Trust and Responsibility in Artificial Intelligence
Skills you will gain:
About Program:
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.
Program 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.
What you will learn?
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
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
- 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
Career Supporting Skills
Program 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