As artificial intelligence becomes an integral part of decision-making, creativity, and everyday life, ethical thinking must evolve alongside technological progress.
As artificial intelligence becomes an integral part of decision-making, creativity, and everyday life, ethical thinking must evolve alongside technological progress.
(25 students already enrolled)
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.
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.
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
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.
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.
Included for free with every course
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