Data-Science Intermediate Premium

Ethical AI and Responsible Data Science Virtual Internship

In this virtual internship, students will gain insights into the ethical considerations and best practices in data science, including topics like algorithmic bias, privacy, fairness, and the responsible development and deployment of AI systems. Through a series of interactive modules and hands-on projects, students will learn to identify and mitigate potential ethical issues in data-driven decision-making, and develop a deeper understanding of the societal impact of AI. By the end of the internship, students will be equipped with the knowledge and skills to become responsible data scientists and AI practitioners, contributing to the ethical and sustainable use of technology.

weeks

4 tasks

0 enrolled

Track price: $49.00

Track Overview

This track provides hands-on experience and real-world projects to build your skills.

Tasks & Milestones

Case Study: Algorithmic Bias in Hiring

Intermediate

Analyze a real-world case study of algorithmic bias in a hiring process, and propose solutions to mitigate the ethical issues identified.

8 hours

Detecting and Mitigating Bias in a Machine Learning Model

Intermediate

Develop a machine learning model and analyze it for potential sources of bias, then implement techniques to mitigate the identified issues.

12 hours

Privacy Impact Assessment for a Data Science Project

Intermediate

Conduct a privacy impact assessment for a data science project, identifying potential privacy risks and proposing mitigation strategies.

10 hours

Ethical AI Governance Framework

Intermediate

Develop a framework for the ethical governance of AI systems, addressing key principles and best practices.

16 hours

Prerequisites

• Basic programming skills (Python)
• Familiarity with data analysis and machine learning concepts

Certificate

Certificate of Completion

Earn a certificate upon successful completion