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Responsible AI in Business A Guide to Ethical Leadership
Published 9/2026
Created by Dr. Olivier Maugain
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 47 Lectures ( 2h 55m ) | Size: 2.3 GB
Master ethical AI strategy and governance to lead with integrity, build trust, and drive sustainable business success
What you'll learn
Apply Responsible AI principles to make ethical, informed decisions about AI in real-world business situations. Identify AI ethics risks such as bias, discrimination, privacy breaches, misinformation, and unintended harm. Use practical ethical decision-making frameworks to assess AI use cases and make responsible choices, without needing technical expertise. Navigate the EU AI Act and OECD AI Principles and understand what they mean for responsible AI adoption and governance. Assess AI systems for fairness, transparency, privacy, and accountability and identify potential areas of concern. Develop practical AI governance policies and guidelines that support responsible AI use within your organization. Communicate AI risks and decisions clearly to employees, customers, executives, and other stakeholders to build trust. Lead organizational change and build a Responsible AI culture that supports ethical innovation and awareness of AI risks. Evaluate the impact of AI-driven decisions on individuals, organizations, and society, and develop strategies to mitigate potential harms. Apply lessons from real-world AI ethics case studies and simulations to navigate ethical dilemmas in business. Use a practical toolkit with ready-to-use tools and resources to apply the course concepts and implement responsible AI practices in your organizRequirements
No prior experience is required. The course Is suitable for beginners.Description
Artificial Intelligence (AI) is transforming business, butAI ethics, AI risks, and AI governance are becoming just as important as the technology itself. Managers and business leaders need to know how to adopt AI responsibly, protect privacy and fairness, and make decisions that build trust rather than create costly risks.
Responsible AI in Business: A Practical Guide to Ethical Leadership is designed for business professionals who need practical guidance for making responsible decisions about AI, even without a technical background.
You will explore questions such as
Should we use this AI system? What could go wrong? How can we reduce the risks? What responsibilities do we have as leaders?Throughout the course, you will work withreal-world examples and case studies, completeinteractive quizzes, and take part inpractical simulations and exercises that help you
Understand what Responsible AI means and why it matters for business Identify ethical risks and dilemmas in real-world AI applications Apply key principles such asprivacy, transparency, fairness, and accountability Navigate important AI standards and regulations, including theOECD AI Principles and the EU AI Act Recognize and mitigate risks related to bias, discrimination, privacy, misinformation, and AI misuse Evaluate the impact of AI decisions on employees, customers, stakeholders, and society Make better decisions about AI adoption, balancing innovation and business value with ethical responsibility Develop practical approaches to AI governance Communicate AI-related risks and decisions clearly with stakeholders Build a culture of responsible AI within your organizationBy engaging with these activities, you willput Responsible AI principles into practice, developing the confidence and practical skills needed to lead AI initiatives responsibly and make decisions you can stand behind.
Then,a dedicated Responsible AI Toolkit is designed to help you put what you learn into practice. It gives you practical tools you can use toapply the approaches and methods covered in the course. Instead of simply learning what the concept means, you will have resources to help you assess risks, structure decisions, develop practices, and support implementation within your organization.
Is this course for me?
You don't need to be a data scientist, programmer, or AI specialist. The course is designed to make responsible AI understandable and actionable forbusiness professionals at all technical levels.
Whether you are leading an AI project, evaluating AI tools, managing a team affected by AI, working with technical specialists, or shaping your organization's strategy, this course will give you a practical framework for makinginformed, ethical, and defensible AI decisions.
Your instructor
Led byDr. Olivier Maugain, a senior data and analytics leader with extensive experience in data-driven decision-making, business intelligence, data governance, and organizational change. With more than20 years of professional expertise and over five years as a Udemy instructor, Olivier has helped more than 100,000 learners develop practical skills and knowledge. He focuses on a central question:How can business leaders capture the value of AI while protecting people, building trust, and managing risk?This course translates that perspective into practical frameworks and tools that learners can apply in their own organizations.
Why enroll?
This course will help you
Prepare for AI regulation Protect trust and reputation Strengthen your decision-making Turn abstract principles into practical actions Future-proof your leadership skills in an increasingly AI-driven workplaceReady to put Responsible AI into practice?Enroll today and get instant access to2.5 hours of content, a course handbook, 6 downloadable tools, and a certificate of completion you can add to your LinkedIn profile.
Your new skills are just one click away. So let's get started!
Who this course is for
Managers and business leaders responsible for AI initiatives, digital transformation, or the adoption of AI within their teams or organizations. Executives and decision-makers who need to understand AI ethics, risk, governance, and responsible AI strategy. Non-technical professionals working with AI or data teams who want to confidently understand and apply responsible AI practices without becoming AI experts. Aspiring leaders and career-focused professionals who want to future-proof their careers and develop the skills needed to make ethical AI decisions. Entrepreneurs and business owners developing or using AI-driven products and services and wanting to innovate responsibly. Consultants and strategists advising organizations on AI adoption, governance, risk, or digital transformation. NOT FOR technical or coding-focused AI specialists. NOT FOR data scientists seeking technical AI risk-mitigation methods. NOT FOR anyone seeking purely legal or regulatory AI training. NOT FOR learners seeking academic or theoretical AI ethics.Homepage
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