Good AI: Leaders Building Good Tech for Good

New
·

5 Days

·

Cohort-based Course

Lead with integrity: Learn how to govern AI responsibly, reduce risk, and build trust through ethical, compliant AI strategy.

Trusted By and Featured At

Goldman Sachs
United Nations
Google
Russell Reynolds Associates
Citi

Course overview

What You'll Get

From uncertain to unstoppable: In just 2 weeks, you'll go from feeling unsure about AI risks to confidently leading ethical AI strategy. You'll gain the tools to spot red flags before they become scandals, the language to influence your C-suite, and a practical blueprint to future-proof your organization through responsible AI governance.

Who is this course for

01

Tech Founders, Startup Founders, AI Consultants, and Intrapraneurial Leaders building AI

02

Heads of Compliance, Risk, Legal, or AI Strategy

03

Technology C-Suite Leaders, including Chief AI Officers (CAIOs), Chief Product Officers (CPOs), and Chief Technology Officers (CTOs).

What you’ll get out of this course

Evaluate AI-driven risks and opportunities to enhance corporate strategy while ensuring compliance and ethical integrity.

Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.

Develop a Responsible AI framework that aligns with business goals, mitigates bias, and drives sustainable revenue growth.

Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.

Implement AI governance policies that balance innovation with accountability, reducing legal and reputational risks.

Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.

Lead cross-functional teams in making AI-driven decisions that build customer trust, competitive advantage, and long-term value.

Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.

What’s included

Live sessions

Learn directly from Daphné Vanessa Pierre, Esq. & Andrew Patricio in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to, as commercially reasonable and so long as Maven continues to exist.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

4 live sessions • 31 lessons • 5 projects

Week 1

Jan 26—Jan 30

    Jan

    30

    Inside the Room: Fireside with an AI Governance Expert

    Fri 1/305:00 PM—6:00 PM (UTC)

    Jan

    26

    Kickoff: The New C-Suite Imperative – Responsible AI as Strategy, Not Slogan

    Mon 1/265:00 PM—6:00 PM (UTC)

    Ethics, Law, and the Foundations of Responsible Technology

    6 items

    Defining Morality in the Machine Age

    2 items

    Kickoff: The New C-Suite Imperative - Responsible AI as a Strategy, not Slogan

    1 item

    Jan

    28

    Responsible AI Live Application with a Big Tech Privacy Attorney

    Wed 1/285:00 PM—6:00 PM (UTC)

    What's Legal Now? A Global Snapshot of AI Regulation

    3 items

    The Invisible Code: Designing with Principles

    4 items

    The Trust Equation: Why Ethical Friction is a Competitive Advantage

    1 item

    Culture, Risk, and Implementation - Turning Principles into Practice

    3 items

    The Hidden Risk Layer: Culture, Bias & Organizational Blind Spots

    2 items

    From Principles to Playbooks: Building an Internal AI Ethos

    2 items

    Power Without Purpose: What Happens When Governance Lags Innovation

    1 item

    Reflection

    1 item

    Group Project: Building Ethical Momentum Across Teams

    1 item

    Embedding Ethics in Every Sprint

    3 items

    Planning and Forecasting for Responsible AI

    1 item

    Governance in Action: Blueprint Templates & Real-World Examples

    3 items

    Your Company, Your Ethos

    1 item

    Capstone: Present Your AI Governance Blueprint

    1 item

    Jan

    30

    Capstone Presentations + Closing: Executive Readiness & What’s Next

    Fri 1/305:00 PM—6:00 PM (UTC)

Meet your instructor

Daphné Vanessa Pierre, Esq.

Daphné Vanessa Pierre, Esq.

Daphné Vanessa Pierre, Esq. is a SocialTech and EdTech founder, startup attorney, former Wall Street compliance leader, and AI product leader building tech that actually helps people. She's the co-founder of StartNoo, a platform tackling student debt through service learning, and a champion for ethics-first innovation.


After nearly a decade advising financial institutions on regulation and risk, she went all in on building future-forward tools with heart—infused with justice, accessibility, and soul. She’s led legal and product teams across industries and now teaches leaders how to scale tech responsibly without losing their minds (or their morals).


Her Responsible AI work fuses real-world law, platform governance, and product development into practical frameworks you can use today to design tech that does good on purpose.

Whether testifying before regulators or mentoring startup founders, Daphné is obsessed with one thing: building a better world where tech works for everyone—not just the loudest voices in the room.


Because sometimes fairness means making sure to stand up so the marginalized don't get left behind.

Goldman Sachs
Russell Reynolds Associates
StartNoo
Google
Citi Bank

Career highlights

  • Founder of an EdTech company (StartNoo) focused on equitable access to higher education and economic mobility.

  • UN NGO Financing for Development (FfD) Subcommittee Member shaping inclusive finance and digital access policy worldwide.

  • Building AI products that prioritize responsibility, transparency, and access from the ground up.

  • Speaking about Responsible AI and ethics in tech, empowering developers to build with humanity in mind, including at Google DevFest Boston.

  • Bridging law, tech, and equity to drive real-world impact in corporate and global policy arenas.

  • Laid foundation for firmwide digital accessibility efforts on Wall Street, eventually serving as Former Head of Fair Employment Practices

Andrew Patricio

Andrew Patricio

Andrew Patricio specializes in scaling data and AI

capabilities for organizations transitioning from ad hoc

analytics to enterprise-grade, outcome-driven data

strategies. As Principal of Data Effectiveness, he helps

chief data and AI officers navigate the critical inflection

point where manual processes must evolve into

sophisticated, scalable platforms that directly drive

business impact.

Scaling Expertise | AI Governance Expert

UnidosUS
Freddie Mac
Data Effectiveness
AI Accelerator Institute

Career highlights

  • Led data transformation at UnidosUS, replacing manual processes with automation & central infrastructure to boost capacity.

  • Built generative AI incl. RAG tools for bias/privacy & agentic AI for advocacy, scaled to 300+ orgs managing $4.5B+ revenue.

  • As Chief Data Officer/CIO at DC Public Schools, delivered first enterprise data warehouse & led multi-million dollar core system upgrades.

A pattern of wavy dots

Join an upcoming cohort

Good AI: Leaders Building Good Tech for Good

January 2026 Cohort

$1,497

Dates

Jan 26—31, 2026

Application Deadline

Jan 25, 2026

Course schedule

3 hours per week

  • Mondays, Wednesdays, & Fridays

    12:00pm - 1:00pm ET

    You'll attend a combination of sync and async lessons, including LIVE sessions with Responsible AI experts and industry veterans.

  • Weekly projects

    1 hour per week

    You'll have one project per week, including your end of course Capstone project :)

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

Stay in the loop

Sign up to be the first to know about course updates.

A pattern of wavy dots

Join an upcoming cohort

Good AI: Leaders Building Good Tech for Good

January 2026 Cohort

$1,497

Dates

Jan 26—31, 2026

Application Deadline

Jan 25, 2026

$1,497

USD

5 Days