As Artificial Intelligence (AI) rapidly transforms industries and daily life, the imperative for ethical AI development and corporate responsibility has never been greater. Organizations deploying AI systems must navigate complex challenges related to bias, transparency, accountability, and societal impact. Embracing ethical principles in AI is not merely a compliance issue; it's a strategic necessity that builds trust with customers, mitigates risks, and ensures AI serves humanity positively. This crucial training course is designed to equip leaders and practitioners with the foresight to build and manage AI responsibly.

This intensive five-day program will provide participants with a deep dive into the ethical dimensions of AI and its integration with corporate responsibility frameworks. You will gain practical insights into identifying and mitigating AI biases, ensuring data privacy, establishing clear accountability for AI decisions, and fostering a culture of responsible innovation. By understanding the intricate relationship between AI ethics and corporate responsibility, you will be empowered to guide your organization toward developing and deploying AI systems that are both powerful and principled, contributing to a more equitable and sustainable digital future.

Duration: 5 days

Target Audience:

• AI Developers and Engineers
• Data Scientists and Machine Learning Engineers
• Product Managers overseeing AI initiatives
• Ethics and Compliance Officers
• Corporate Social Responsibility (CSR) Professionals
• Legal Counsel specializing in technology law
• Business Leaders and Executives
• Policy Makers and Regulators
• Researchers in AI and related fields
• Anyone involved in the design, deployment, or governance of AI systems

Objectives:

• Understand the fundamental ethical principles applicable to Artificial Intelligence.
• Identify and address potential biases in AI systems.
• Grasp the concept of accountability in AI decision-making.
• Learn strategies for ensuring transparency and explainability in AI.
• Explore the societal impact of AI and its ethical implications.
• Develop frameworks for responsible AI governance within an organization.
• Understand the intersection of AI ethics with corporate social responsibility.
• Navigate legal and regulatory landscapes related to ethical AI.
• Foster a culture of ethical AI innovation and deployment.

Course Modules:

Module 1: Foundations of AI Ethics

• Defining AI ethics and its importance in modern society
• Key ethical principles: fairness, accountability, transparency, safety
• The concept of algorithmic bias and its sources
• Human-centered AI design and its ethical considerations
• The role of values in AI development and deployment

Module 2: Bias and Fairness in AI Systems

• Types of bias in data and algorithms
• Methods for detecting and measuring AI bias
• Strategies for mitigating bias in AI models
• Ensuring equitable outcomes and non-discrimination
• Case studies of biased AI and their real-world impact

Module 3: AI Accountability and Governance

• Establishing clear lines of accountability for AI decisions
• Developing robust AI governance frameworks
• The role of AI ethics committees and review boards
• Risk assessment and management for AI systems
• Implementing internal policies for responsible AI

Module 4: Transparency and Explainability in AI

• The challenge of "black box" AI models
• Techniques for enhancing AI transparency (e.g., LIME, SHAP)
• Communicating AI decisions to stakeholders
• The right to explanation for automated decisions
• Balancing explainability with proprietary information

Module 5: Societal Impact and Responsible AI Deployment

• AI's impact on employment, privacy, and human rights
• Ethical considerations in AI applications (e.g., surveillance, autonomous systems)
• The concept of AI for social good
• Stakeholder engagement in AI development and deployment
• Addressing unintended consequences of AI systems

Module 6: AI Ethics, Law, and Regulation

• Overview of emerging AI regulations and guidelines globally
• Legal implications of AI bias and discrimination
• Data privacy and security in AI systems (e.g., GDPR, CCPA)
• Intellectual property and ownership in AI-generated content
• International cooperation on AI ethics and governance

Module 7: Integrating AI Ethics into Corporate Responsibility

• Aligning AI ethics with existing CSR initiatives
• Developing an ethical AI roadmap for your organization
• Building an ethical AI culture through training and awareness
• Best practices for ethical AI procurement and vendor management
• Measuring and reporting on ethical AI performance

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.