Holistic Approach to AI Ethics

• AI Ethicist

• AI Policy Advisor

• AI Compliance Officer

• AI Consultant

• AI Researcher

• AI Strategy and Governance Specialist

• Data Privacy and Ethics Officer

• Social Impact Analyst

• Concepts of AI

• Algorithmic Bias and Fairness

• Explainability and Interpretability

• Transparency and Accountability

• Ethical Data Governance

• AI Regulation and Policy

• Security and Privacy

• Regulatory Compliance

• Ethical Leadership and AI Strategy

• Real-World Case Studies

• Guest Lectures

• Assessment and Feedback

• Auditors/ Risk and Compliance Officers

• Researchers and Academics

• AI Enthusiasts and Activists

• Data Scientist and AI Researchers

• Policy Analyst and Law Makers

• Business and Technology Leaders

• Online

• Live interactive sessions + Recorded Sessions

• Learn from Global Experts

• Networking Opportunities

• 12- weeks program with classes held weekly Life-time access to the course

• What is AI and Data Science

• Data Science Lifecycle

• Applications of AI

• Understanding Data

• Supervised Learning

• Unsupervised Learning

• Deep Learning and Neural Network Concepts

• Reinforcement Learning Concepts

• Why AI Ethics is important?

• Overview of Ethical Principles in AI

• Sources of Harm in AI

• Transparency in AI

• Accountability

• Responsibility in AI

• Understanding and Protecting Privacy in the age of AI

• How can we protect user data in AI applications?

• What are the key principles of data protection in AI?

• What is the role of informed consent in data privacy?

• How should organizations handle personal data in AI projects?

• What are the implications of GDPR and other data privacy regulations on AI?

• How can we ensure data anonymization and deidentification in AI systems?

• ◦ What are the risks of data breaches in AI applications?

• What are the potential consequences of using low-quality data in AI?