Understand the foundations of AI Ethics and observe some of the challenges of the ethical use of AI.

AI ethics: What's the buzz?

Guiding principle

Options

Relevant to AI Ethics

Irrelevant to AI Ethics

What's covered by AI ethics?

Digging deeper: AI ethics principles

Fairness

Accountability

Transparency

Identifying actions

AI principles unfolded

AI ethics: where's the line?

Striking a balance

Privacy

Bias/Fairness

CineLlama Navigator

Approaching AI Ethics

Unpack the core principles of AI Ethics and discover a promising technique, explainable AI (XAI), that can integrate these principles into many AI systems.

Unpacking the blackbox: Transparency

Transparent AI system

Transparency best practices

AI fairness: not just a dream

Tackling fairness issue

Can we make things right?

Safeguarding AI: Accountability

Accountability common misconceptions

Who's responsible?

Explainable AI

How would you apply XAI?

The perfect match

Below the Surface: AI Ethics

Discover the value ethical frameworks present to organizations of all sizes and prepare yourself to tackle tomorow's ethical challenges with AI ethics by design.

Summaries Ethical frameworks

Framing success

When a plan comes together

The value of ethical AI

A proactive approach

Identify the stakeholders

The future of AI ethics

All part of the plan

Honing ethics by design

The Way Forward: AI Ethics

Course Glossary

This introductory course on AI ethics provides a comprehensive overview of ethical considerations in the fast-paced domain of artificial intelligence. The course spans industry, policy-making, academia, and society at large, covering principles of AI ethics, strategies to foster fair and equitable AI systems, approaches to minimize biases, and methods to address key issues and establish user trust. Throughout the course, you will learn about the core principles of ethical AI and expand your understanding of common challenges and opportunities in the field of AI ethics. Through hands-on exercises, you will build your skills to craft ethical AI by design. Begin Learning today!

The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.

The course glossary, promotional material and detailed learning objectives can be found on the right in the resources section.

To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.

<h2>Get an Overview of AI Ethics</h2> 
This introductory course on AI ethics provides a comprehensive overview of ethical considerations in the fast-paced domain of artificial intelligence. The course spans industry, policy-making, academia, and society at large, covering principles of AI ethics, strategies to foster fair and equitable AI systems, approaches to minimize biases, and methods to address key issues and establish user trust.
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<h2>Ethical Principles and Challenges</h2> 
Throughout the course, you will learn about the core principles of ethical AI and expand your understanding of common challenges and opportunities in the field of AI ethics. Through hands-on exercises, you will build your skills to craft ethical AI by design. Begin Learning today!

Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.

AI Ethics

Nozioni di base sull'intelligenza artificiale nel mondo degli affari

Nozioni di base sull'intelligenza artificiale

Sviluppare applicazioni AI

Nozioni di base sulla legge dell'UE sull'intelligenza artificiale

Fondamenti di un'IA responsabile

FacedIn ensures their algorithms do not favor certain political ideologies while displaying news feeds.

FacedIn has set up a robust process to handle any harm caused due to the spread of misinformation through their platform.

FacedIn has made their content recommendation algorithms understandable to their users.

Identifying actions

AI Ethics

Esercizio pratico interattivo