Responsible Automated Intelligence (AI) Ethics Fundamentals
$159.00
Learn the core ideas of responsible AI, from bias and transparency to privacy, governance and policy. 1 hour 40 minutes over 29 videos, plus 50 test questions.
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- StemBoss Certificate of Completion
- 14-day refund promise
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Responsible Automated Intelligence (AI) Ethics Fundamentals explains how to build and use AI in a way that is fair, open and accountable. It is for AI practitioners, developers, leaders, policymakers, educators and students who want a clear grasp of AI ethics. The course runs for 1 hour 40 minutes across 29 videos, with 50 test questions.
What you will learn
- The key ethical frameworks and principles behind responsible AI
- How bias gets into AI systems and how to reduce it
- Why transparency matters and how to make AI decisions easier to explain
- How to set up accountability and governance for AI
- How to collect, use and manage data ethically
- The main privacy and security risks in AI, and how to lower them
- How AI affects jobs and how it can be used for social good
- What an ethical AI policy should contain and how to lead an ethical AI culture
Course outline
- Introduction to AI ethics: understanding AI ethics, frameworks and principles, and key ethical challenges
- Responsible AI development: bias and fairness, transparency, accountability and governance, with a Microsoft Responsible AI demonstration
- Privacy and security with AI: data collection and use, risks and mitigation, and ethical data management
- Social and ethical impacts of AI: automation and job loss, AI for social good, and demonstrations of ChatGPT and Google Bard
- Policy development: ethical AI leadership culture, policy elements and keeping policy current as AI changes
Lessons include whiteboard sessions and live demonstrations, so you can see how the principles apply to real AI tools.
Who this course is for
- AI practitioners and developers
- Policymakers and business leaders
- Educators and students
- Anyone interested in where AI and ethics meet
Before you start
There are no prerequisites. You do not need to code or have a technical background. A general interest in how AI affects people, businesses and society is all you need.
Jobs this course supports
- AI practitioner
- Software developer
- Policy maker
- Business leader
| Skill level | Beginner |
|---|---|
| Duration | 1 Hour 40 Minutes |
| Videos | 29 Videos |
| Questions | 50 Test Questions |
| Prerequisites | None. An interest in how AI affects people and organisations is enough. |
| Best for | AI practitioners, developers, policymakers, business leaders, educators, students |
| Topics covered | Ethical frameworks, bias and fairness, transparency, accountability and governance, privacy and security, data ethics, social impact, AI policy |
| Format | Online video lessons, self-paced |
| Language | English |
| Closed captions | Yes |
| Certificate | StemBoss Certificate of Completion |
What is inside this course
6 modules and 29 lessons. Here is the full outline.
Module 12 lessons
- Course Welcome
- Instructor Introduction
Module 1: Introduction to AI Ethics5 lessons
- 1.1 Introduction to AI Ethics
- 1.2 Understanding AI Ethics
- 1.3 Ethical Frameworks and Principles in AI
- 1.4 Ethical Challenges
- 1.5 Whiteboard - Key Principles of Responsible AI
Module 2: Responsible AI Development6 lessons
- 2.1 Responsible AI Development - Introduction
- 2.2 Responsible AI Development - Continued
- 2.3 Bias and Fairness in AI
- 2.4 Transparency in AI
- 2.5 Demonstration - Microsoft Responsible AI
- 2.6 Accountability and Governance in AI
Module 3: Privacy and Security with AI5 lessons
- 3.1 Privacy and Security in AI
- 3.2 Data Collection and Usage
- 3.3 Risks and Mitigation Strategies
- 3.4 Ethical Data Management in AI
- 3.5 Demonstration - Examples of Privacy EUL
Module 4: Social and Ethical Impacts of AI5 lessons
- 4.1 Social and Ethical Impacts of AI
- 4.2 Automation and Job Displacement
- 4.3 AI and Social Good
- 4.4 Demonstration - ChatGPT
- 4.5 Demonstration - Bard
Module 5: Policy Development6 lessons
- 5.1 Policy Development
- 5.2 Ethical AI Leadership Culture
- 5.3 Ethical AI Policy Elements
- 5.4 Ethical AI in a Changing Landscape
- 5.5 Course Review
- 5.6 Course Closeout
Your learning path
Where Responsible Automated Intelligence (AI) Ethics Fundamentals fits. Build your skills one step at a time.
Frequently asked questions
What does responsible AI mean in this course?
It means building and using AI that is fair, transparent, accountable and respectful of privacy. The course covers each of these ideas in turn.
Does the course cover AI bias?
Yes. Module 2 covers bias and fairness in AI, alongside transparency, accountability and governance.
Are there any tool demonstrations?
Yes. The course includes demonstrations of Microsoft Responsible AI, ChatGPT and Google Bard, plus whiteboard sessions.
Will this help me write an AI policy for my organisation?
The final module covers policy development, including the elements of an ethical AI policy and how to build an ethical AI culture.
Do I need technical skills for this AI ethics course?
No. There are no prerequisites, and the course suits leaders, educators and students as well as developers.
Do I get a certificate?
Yes. You get a StemBoss Certificate of Completion when you finish the course.
Can I get a refund?
Yes, within 14 days if you have completed less than 20% of the course. See our refund policy for details. Read the refund policy.
