THURSDAY, OCTOBER 30, 2025 * 9:00AM TO 12:00NN VIA ZOOM
Artificial Intelligence (AI) is transforming the way organizations operate, make decisions and drive growth. While AI presents immense opportunities for accelerating progress, its integration raises critical questions about ethics, accountability and trust. Responsible AI goes beyond technical deployment — it is about using AI in ways that are fair, transparent and aligned with both organizational values and societal well-being.
In this SEC-accredited online training, we will guide you through the ethical and effective integration of AI into your business. This high-level executive briefing covers key AI principles, governance frameworks and risk management strategies to help both public and private organizations navigate the complexities of AI adoption. Participants will explore ethical frameworks, global standards, compliance obligations and best practices, including how to mitigate bias in AI algorithms, protect data privacy and build trust in automated systems.
Whether your organization is planning to adopt AI or already deploying it, this program will equip you to lead responsibly — ensuring that your AI initiatives are not only innovative, but also safe, inclusive and worthy of trust. Enroll now!
He is an Associate Director at Accenture Philippines and co-founder of Razza Consulting Group, Inc. With over 20 years of IT consulting experience, he has led the design and deployment of open-source AI/ML digital solutions for clients across the education, energy, pharmaceutical, consumer goods, and public sectors. He has held leadership roles as a Board Director of Hewlett-Packard Philippines Employees Cooperative and as a Trustee of the Philippine Society for Talent Development.
He holds a Bachelor's degree in Library and Information Science and a Doctorate in Public Administration from the University of the Philippines (UP), as well as an MBA from Ateneo de Manila University (ADMU). He is finishing his Doctor of Business Administration in Emerging Technologies (Artificial Intelligence) at Golden Gate University (GGU) in San Francisco, USA.
He also teaches ICT, innovation, analytics, and IT management in various institutions, including the UP, GGU, University of Batangas (UB), and the University of Asia and the Pacific (UA&P). He has served as a resource expert for DOST’s Project SPARTA and the Development Academy of the Philippines (DAP) on applied data analytics in governance.
I. Introduction to Responsible AI
• Definition and importance of responsible AI
• Brief history and evolution of AI ethics
• Real-world examples of responsible and irresponsible AI
II. Ethical Principles and Guidelines
• Fairness and non-discrimination
• Transparency and explainability
• Accountability and governance
• Privacy and data protection
III. Frameworks and Standards
• IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
• European Commission's Ethics Guidelines for Trustworthy AI
• ISO standards for AI and data protection
IV. AI Governance and Regulation
• Overview of AI regulations worldwide
• Case studies of regulatory impact on AI development
• Role of AI governance in organizations
V. Designing Ethical AI Systems
• Incorporating ethics into AI design and development
• Human-centered AI design
• Bias detection and mitigation techniques
VI. Responsible AI in Practice
• Implementing responsible AI strategies in organizations
• Tools and technologies for ethical AI development
• Monitoring and auditing AI systems
VII. Case Studies and Applications
• Successful examples of responsible AI
• Lessons learned from AI failures
• Industry benchmarks
VIII. Future Trends in Responsible AI
• Prospects and Forecasts
• Future proofing your organization
• Conclusion and next steps
Contact Person: Camille Joyce Jonas
Mobile Number (+63 939) 914-8689
Telefax: (+632) 8842-7148 or 59
Email: camille.cgbp@yahoo.com
