Trustworthy and Democratic AI - Fundamentals

Course Description (Short)

Explore the foundations of building trustworthy and democratic AI, covering the basics of AI and the ethical considerations for responsible AI development.

Course Format

• Level: Introductory

• Study Hours: 15 hours

• Availability: Free, online, self-paced

Time to Complete

Approximately 15 hours.

Learning Objectives

• Understand the concepts of artificial intelligence, machine learning, and deep learning.

• Recognize the transformative potential and ethical implications of AI in various domains.

• Identify the types and sources of bias that can manifest in AI systems.

• Understand the real-world consequences of biased AI.

• Learn how data collection and pre-processing can introduce bias into AI models.

• Implement best practices for collecting, cleaning, and preparing data to reduce bias.

• Study legal and regulatory frameworks governing AI, such as GDPR and AI Act.

Skills Covered by the Course

• AI concepts and terminology

• Ethical AI development

• Bias identification and mitigation

• Data collection and pre-processing

• Legal and regulatory frameworks

Certifications

Upon completion, you can earn a digital badge and a free Statement of Participation.

Mapped

I understand that the accuracy of advanced analytics like AI are dependent upon good quality data to train and run, and the consequences of poor-quality data on the reliability of outputs.