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HiPIC WEBINAR SERIES 2024

Title: Advancing Ethical AI: Machine Learning, Responsible AI, and Data Collection Essentials

Webinar Kicks-off on August, 2024

Audience:

       Researchers

       Students

       Staff

       Practitioners

       Professional

Session Time: Time: 5pm – 6pm WAT

WEEK

TOPIC

DATE AND TIME

DESCRIPTION

FACILITATORS

1

Fundamentals of Machine Learning and Data Preprocessing

1 HR

     Introduction to Machine Learning

Key concepts and types (supervised, unsupervised, reinforcement learning)

Real-world applications

     Data Preprocessing and Feature Engineering

Data cleaning techniques

Feature selection and engineering

Modeling and prediction

 

2

Data Governance

1 HR

     Data collection and privacy

Data Collection

Best Practices for Data Collection

Designing effective data collection strategies

Ensuring data quality and reliability

     Privacy and Security in AI

Data privacy concerns and regulatory frameworks

Techniques for ensuring data security

 

3

Responsible AI and Ethical Considerations

1 HR

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

     Principles of Responsible AI

Ethics in AI development and deployment

Fairness, accountability, and transparency

     Bias and Fairness in AI

Understanding and detecting bias

Techniques to mitigate bias

 

 

4

Advanced Topics in AI and Data Integration.

1 HR

     Explainability and Interpretability in AI

Importance and techniques for explainable AI models

Tools for model interpretability

     Integrating Data from Multiple Sources

Data integration techniques

Handling data heterogeneity and inconsistency

Real-world use cases