AI Ethics and Understanding
As AI adoption grows in Singapore, ethical risks can’t be ignored. This course covers AI bias, transparency, accountability, and data privacy, with practical frameworks and real examples to help you apply responsible, trustworthy AI in your organisation.
Duration
2 Days
Instructor
Rob Hayes
Venue
Marina Bay Sands, Singapore
The AI Ethics and Understanding course is a focused two-day programme designed for professionals in Singapore who want to use AI responsibly, not just quickly. As AI increasingly shapes decisions across sectors such as finance, healthcare, public services, and business, the ethical implications are becoming critical within Singapore’s evolving regulatory and digital landscape.
In this corporate AI ethics training, you will explore practical concepts around data privacy, bias, transparency, and accountability. You will learn how to design and implement an AI ethics framework tailored to your organisation, turning principles into actionable strategies. Through clear explanations, guided discussions, relevant case studies, and hands-on exercises, you will build the confidence to balance innovation with responsibility, reduce risks, and ensure your AI systems are fair, transparent, and aligned with Singapore’s standards for trust and governance.
Course Syllabus
Introduction to AI Ethics and Responsible AI
Understand why AI ethics is critical in modern technology and business.
Explore ethical dilemmas in AI development and deployment.
Learn key ethical principles: fairness, accountability, transparency, and explainability.
Discuss real-world ethical failures in AI and their consequences.
Privacy and Data Protection in AI Systems
Understand the impact of AI on personal privacy and data security.
Explore legal frameworks such as GDPR and AI-related data regulations.
Learn how AI processes and stores personal information.
Develop strategies for ensuring ethical data collection and usage.
AI Bias and Fairness
Learn how bias enters AI models and its impact on decision-making.
Explore techniques for detecting and mitigating bias in AI algorithms.
Understand the societal consequences of biased AI systems.
Discuss best practices for promoting fairness in AI applications.
Transparency and Explainability in AI
Understand the importance of AI transparency for trust and adoption.
Learn techniques for making AI decision-making explainable to users.
Explore challenges in building interpretable AI models.
Discuss strategies for improving AI transparency in business applications.
Accountability and Governance in AI
Learn who is responsible for AI-related decisions and their consequences.
Explore the role of AI ethics committees and governance frameworks.
Understand ethical considerations in AI automation and human oversight.
Develop strategies for ensuring corporate and regulatory accountability in AI use.
Implementing Ethical AI Practices in Organizations
Explore frameworks for integrating ethical principles into AI development.
Learn how to balance innovation with ethical constraints.
Develop guidelines for responsible AI deployment in business environments.
Create an AI ethics action plan tailored to organizational needs.
Key Learning Outcomes
- Understand the ethical challenges associated with AI use in business and society.
- Learn how to identify and mitigate bias in AI systems.
- Develop strategies for ensuring transparency and accountability in AI decision-making.
- Explore frameworks for implementing responsible AI policies and governance.
- Gain insights into balancing AI-driven innovation with ethical responsibilities.
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