Responsible AI for Leaders

Organisations across sectors are moving rapidly from AI experimentation to implementation, while facing increasing regulatory scrutiny and expectations around ethics, governance and measurable value.

Leaders are expected to make informed decisions about AI despite challenges such as unclear use cases, data quality concerns, and uncertainty about risk, cost and long-term impact.

This course gives you the clarity and confidence to lead responsible AI adoption that aligns with your business goals. You’ll evaluate different AI variants, including generative AI, and assess how they can be applied meaningfully in your organisation.

Supported by University of Cambridge academics and industry experts, you'll explore ethical frameworks and learn how to apply them to address bias, transparency and equity, while strengthening governance and accountability.

This course prioritises industry-relevant insights and draws on interdisciplinary research and real-world case studies to bridge theory and practice. Develop the skills to assess AI-related risks, including the risks of non-adoption, and analyse sustainability and security implications.

At the end of the course, you’ll produce a practical AI strategy and policy plan tailored to your context – giving you a clear, actionable output that supports effective, responsible AI adoption.

This course develops the practical application of artificial intelligence in organisational contexts, balancing conceptual understanding with decision-making. Learners will transition from understanding AI systems and ethical frameworks to applying structured processes for risk, governance and evaluation. Each module builds progressively through real-world case studies, frameworks, and applied tasks, enabling you to develop and refine your own organisational approach. By the end of the course, learners will produce a tailored responsible AI strategy and policy plan, equipping them to assess opportunities, manage risk, and lead confident, evidence-based AI adoption.

• Module 1: Ethical AI landscape

• Module 2: AI risk and governance

• Module 3: AI risk assessment and security

• Module 4: AI bias and justice

• Module 5: AI in the workplace: Informed decision-making

• Module 6: Evaluating AI cost and fit for organisations

By the end of this course, you will be able to:

• compare various forms of artificial intelligence, including generative AI, and explain their application in the workplace

• compare ethical frameworks for AI adoption and evaluate them for applicability in your own context

• analyse the risk factors associated with AI usage and the business risk of AI usage and adoption, including the risk of non-adoption, in your organisation

• explain sustainability concerns related to AI usage

• evaluate and apply ethical and security considerations to AI tool adoption

• produce a brief responsible AI action plan for current and future adoption of AI tools in your context.
  

On successful completion of the course, you’ll receive a certificate from the University of Cambridge and a digital badge to display on your LinkedIn profile. These Cambridge credentials not only showcase your knowledge and expertise but also demonstrate your commitment to professional development – helping future-proof your career.

This course is designed for:

• Senior leaders, executives and decision-makers across industries: Useful for those responsible for strategic AI adoption, governance and organisational transformation initiatives.

• Professional learners interested in AI ethics and governance: Useful for policy advisors, consultants and professionals seeking to deepen their understanding of ethical AI frameworks and governance mechanisms.

Our flexible, online courses – delivered via a world-leading learning platform – reflect the University of Cambridge experience and values, with low learner-to-tutor ratios and academically rigorous standards.

Our online learning model is designed to help you advance your skills and specialise in emerging areas that address real-world challenges. We will help you build your network through an engaging and impactful learning journey that encourages collaboration with academics and fellow learners.

Courses are delivered in weekly modules, allowing you to plan your time effectively around existing commitments. There is an optional weekly live session, which is recorded for anyone who can’t attend. The assessment criteria will be presented to you at the start of the course, so you can approach your studies with confidence and motivation, knowing exactly what’s expected of you and how to meet those expectations.

Throughout your online learning experience with Cambridge Advance Online, you’ll have digital access to a dedicated course tutor, an expert in the field, who will help steer your learning and provide you with support and guidance every step of the way.

You can ask for support from your employer to fund this learning as part of your professional development.

Our Employer Funding guide (Opens in a new window)has practical tips and templates to help you feel more confident asking for funding.

If your employer is funding your course or programme, we have several payment options available, including bank transfer (BACs), credit or debit card, and PayPal.

You can request a quote or an invoice for your organisation via our online course booking form, which will include a payment date and next steps for completing your payment.