In the age of rapid technological advancement, the ethical implications of digital innovations and artificial intelligence have become a paramount concern for modern businesses. Leaders today face the critical challenge of not only adopting AI for competitive advantage but also ensuring these systems are developed and deployed in a manner that is fair, transparent, and accountable. This training course is meticulously crafted for senior professionals who understand that a proactive and principled approach to digital ethics is essential for building trust, mitigating risk, and sustaining long-term organizational success. It's a strategic imperative for any leader navigating the complexities of the automated world.

Over five intensive days, this course will empower you to transition from ethical awareness to actionable leadership. Participants will gain a deep understanding of core ethical frameworks, learn how to identify and mitigate bias in AI systems, and master the art of responsible data governance. By focusing on practical application and real-world case studies, this program will equip you with the tools to champion a culture of ethical technology, ensuring that your organization's digital initiatives not only drive profitability but also uphold fundamental human values. You will be prepared to lead your teams in building technology that is trusted, reliable, and fundamentally good for society.

Duration: 5 days

Target Audience:

• Chief Executive Officers (CEOs)
• Chief Technology Officers (CTOs)
• Chief Data Officers (CDOs)
• Heads of Product and Engineering
• Legal and Compliance Officers
• Chief Human Resources Officers (CHROs)
• Ethics and Governance Committee Members
• Senior Directors of Digital Transformation
• AI and Machine Learning Program Leaders
• Senior Strategy and Innovation Executives

Objectives:

• Understand the fundamental principles of digital ethics and responsible AI
• Develop a strategic framework for ethical decision-making in a digital context
• Identify and mitigate sources of bias, fairness, and discrimination in AI systems
• Establish effective governance policies for data privacy and security
• Foster a culture of ethical technology design and deployment
• Learn how to communicate ethical risks and opportunities to stakeholders
• Evaluate the long-term societal and business impacts of AI initiatives
• Lead with a human-centric approach to automation and AI
• Implement a continuous monitoring and accountability process for AI systems

Course Modules:

Module 1: Foundations of Digital Ethics

• Defining the ethical dilemmas of the digital age
• Exploring core ethical theories and their application to technology
• The concept of ethical debt and its business implications
• Analyzing case studies of ethical failures in tech
• The role of technology in societal trust and public good

Module 2: Principles of Responsible AI

• Introduction to key AI ethics principles: fairness, transparency, and accountability
• Differentiating between rules-based and machine learning ethics
• The governance of AI from an organizational perspective
• The importance of human oversight in automated systems
• Global standards and emerging regulations for AI

Module 3: Bias, Fairness, and Inclusivity in AI

• Understanding different types of algorithmic bias (data, interaction, etc.)
• Methodologies for identifying and measuring bias in datasets
• Techniques for mitigating bias during the AI development lifecycle
• The impact of fairness on marginalized communities and business reputation
• The role of diversity and inclusion in building ethical AI teams

Module 4: Data Governance and Privacy

• Navigating global data privacy laws like GDPR and CCPA
• Implementing ethical data collection and usage practices
• Establishing a robust data governance framework for AI projects
• The ethical implications of data ownership and consent
• Balancing data utility with individual privacy rights

Module 5: The Leader's Role in Ethics

• Defining the leader's accountability for ethical technology
• Building an ethical technology team and culture
• The importance of asking critical questions during product development
• Leading by example and setting the ethical tone from the top
• Creating an ethical code of conduct for AI and digital initiatives

Module 6: Transparency and Explainable AI (XAI)

• The importance of transparency in building user trust
• What makes an AI system "explainable" and why it matters
• Techniques and tools for explaining AI decisions to stakeholders
• Communicating the limitations and uncertainty of AI models
• The trade-off between model performance and interpretability

Module 7: Implementation and Lifecycle Management

• Integrating ethical considerations into the full AI project lifecycle
• Designing for ethical outcomes from the start ("Ethics by Design")
• Developing a process for ongoing monitoring and auditing of AI systems
• Creating an incident response plan for AI-related failures
• The business value of a responsible AI maturity model

Module 8: Ethical Risks of Emerging Technologies

• Ethical challenges of Generative AI and Large Language Models
• The privacy and security implications of the Internet of Things (IoT)
• Ethical considerations of biometric data and facial recognition technology
• The future of human-machine interaction and its ethical dimensions
• Anticipating and preparing for the next wave of technological risks

Module 9: Building an Ethical Technology Culture

• Strategies for engaging all employees in the ethics conversation
• Designing training and awareness programs for digital ethics
• Establishing an internal ethics board or review committee
• The role of external stakeholders and public engagement
• Creating a continuous feedback loop for ethical improvement

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.