Courses Core AI Skills Ethical Thinking with AI

Ethical Thinking with AI

5.0

As artificial intelligence becomes an integral part of decision-making, creativity, and everyday life, ethical thinking must evolve alongside technological progress.

Course Duration Upto 4 Weeks
Course Level Beginner
Certificate CPD Approved

(25 students already enrolled)

Course Overview

Ethical Thinking with AI

As artificial intelligence becomes an integral part of decision-making, creativity, and everyday life, ethical thinking must evolve alongside technological progress. Ethical Thinking with AI is a forward-thinking course designed to help professionals, leaders, educators, and technologists develop a principled approach to navigating ethical challenges in AI-driven environments.

This course addresses emerging dilemmas around privacy, bias, surveillance, consent, and accountability, while introducing frameworks to apply ethical reasoning in AI-related contexts. You will explore the nuances of relative morality in global systems, understand the implications of algorithmic bias, and develop tools for integrity-based decision-making. With real-world examples, case studies, and AI-integrated strategies, this course empowers you to lead and innovate responsibly.

Who is this course for?

This course is ideal for professionals working in technology, education, business, healthcare, government, and leadership roles who interact with or make decisions involving artificial intelligence. It is especially relevant for data scientists, policy makers, HR professionals, product managers, and educators aiming to align their practices with ethical standards. Whether you are building AI systems or simply navigating them, this course offers the tools to apply ethical thinking with AI in a practical, inclusive, and globally sensitive way—especially in contexts where relative morality and diverse values must be considered.

Learning Outcomes

Define core ethical principles and how they apply in AI contexts

Identify issues of bias, fairness, and discrimination in AI systems

Understand relative morality and the role of culture in AI ethics

Evaluate privacy, surveillance, and data rights issues

Apply ethical frameworks to AI use in business, education, and governance

Promote responsible innovation and algorithmic accountability

Make informed decisions using ethical thinking with AI support

Advocate for lifelong learning and integrity in ethical leadership

Course Modules

  • Learn the foundations of ethics, explore the impact of AI on moral reasoning, and understand the importance of human-centred design.

  • Explore how AI reflects, challenges, and amplifies human values, and how ethics varies across social, cultural, and global contexts.

  • Understand data ownership, informed consent, surveillance risks, and how to ethically handle sensitive information.

  • Unpack the roots and risks of bias in machine learning models and learn methods for auditing and correcting unfair outcomes.

  • Examine the ethical use of generative AI (e.g., ChatGPT, DALL·E) in content creation, decision-making, and automation.

  • Learn how to integrate AI decision tools while preserving integrity, transparency, and accountability.

  • Develop leadership principles for promoting responsibility, inclusion, and trust in AI-enhanced organisations.

  • Build habits and systems to maintain ethical vigilance, continuous learning, and global responsibility in the digital age.

Future Careers

Earn a Professional Certificate

Earn a certificate of completion issued by Learn Artificial Intelligence (LAI), accredited by the CPD Standards Office and recognised for supporting personal and professional development.

certificate

What People say About us

FAQs

Yes. The course explores relative morality and diverse cultural values in AI application and governance.

Yes. You’ll receive a CPD-accredited certificate from OHSC and a Certificate of Completion from CPD Courses.

Yes! The course is fully self-paced so you can complete it on your own schedule.

AI ethics is the field concerned with the moral implications of AI systems, including how they are built, used, and governed.

It recognises that ethical standards may vary across cultures and regions, especially when applying AI globally.

Fairness, accountability, transparency, privacy, and non-maleficence (avoiding harm).

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