Responsible AI: From Principles to Practice

Explore the human side of AI, tackling fairness, transparency, and real-world ethical challenges for good.

About the course

In this course, we'll look at some of the unique challenges that nonprofits need to address. Topics will include bias in AI systems, the need for transparency and trust, and balancing limited resources with ethical AI management.

You’ll explore dilemmas around fairness, transparency, data privacy, and consent, and learn how to keep AI aligned with doing good. The Responsible AI course also provides practical strategies to address these concerns, helping you have tough conversations about AI’s potential harms while building trust and ensuring accountability.

This isn’t just about creating an ethical AI framework; it’sabout understanding how these principles work in practice, addressing powerdynamics, and ensuring AI serves the greater good in alignment with yourvalues.

This course is for non-profit leaders, program managers, grant writers, policy advocates, social workers, data analysts, and community organizers committed to using AI ethically. It’s designed for professionals who want to understand AI’s societal impact, tackle real-world ethical challenges, and ensure AI aligns with their mission and values.

Learning Journey

What we'll cover:

‍Understanding the Human-AI Relationship: How AI is reshaping the workforce and daily life. Evaluating the potential benefits and risks of AI technologies, exploring the future of work, privacy, and societal change.
Human-Centered AI - from theory to practice: The framework, methods and skills needed to understand and apply the principles of Human-Centered AI. ‍
Ethical Principles, Dilemmas and Challenges: What ethical principles should guide AI development and use? Understanding algorithmic bias and how to mitigate its effects. Case studies of real-world ethical issues in AI implementation.‍
Building Trust Through Transparency: What it means and why it matters. Techniques to ensure AI decisions are understandable and traceable. Best practices for explaining AI's impact to stakeholders.‍
Accountability in AI Systems: Exploring accountability structures in AI development and use. Overview of current regulations and their implications for organizations. Tools and strategies for ensuring AI systems meet ethical standards.‍
Creating an Ethical AI Framework and Playbook: Building a values-driven AI framework for your organization. How to operationalize ethics in AI workflows. Strategies to maintain an ethical AI system as technology evolves.‍
The Path Forward: Aligning AI with Human Values: Ensuring AI Remains a Force for Good. Practical steps to keep AI aligned with societal and organizational values. Learn how to address concerns and gain stakeholder trust. Developing your personal or organizational roadmap to ethical AI adoption.

Learning Outcomes:

Develop a clear understanding of AI’s societal impact and its influence on marginalized communities, power structures, and organizational decision-making.
Identify and address key ethical challenges, such as bias, equity, transparency, and data privacy, while creating AI solutions that foster inclusive, positive outcomes.
Build confidence in leading ethical AI discussions with stakeholders, navigating difficult conversations about AI’s potential harms and benefits.
Gain practical tools to integrate responsible AI practices into your workflows, ensuring long-term accountability, trust, and alignment with your organization’s values and goals.

Who is it for?

PLAI is built on the science of learning and behavioral change, offering a seriously playful, imaginative, and courageous approach that works. Our courses are designed to challenge your thinking, help you build valuable habits, and focus on people—because AI is more than just tech.

Nonprofit Leaders and Program Managers: If you're navigating AI’s potential impact on your mission and community, this course will equip you with the tools to ensure AI serves the greater good while upholding your values.

Policy Advocates and Human Rights Leaders: Learn how to address AI's societal implications, including fairness, transparency, and bias, to protect vulnerable communities and promote ethical AI usage.

Fundraisers and Data Analysts: Learn how to ethically leverage AI to enhance your fundraising efforts while tackling challenges like data privacy, consent, and building trust with donors through responsible data usage.

Social Justice Advocates and Change-Makers: This course will empower you to tackle AI's ethical dilemmas and ensure it supports fairness, bias transparency, and social equity in your work.

Please note: Based on your region you select, we'll put you in a cohort with a suitable live session times, with the flexibility to change if needed. We are running multiple cohorts globally, to ensure everyone is able to join at a time that is right for them.