Deliverables
Understanding what AI is, what it does, how far it's integrated into our societies, and what it's made of are no easy feats of understanding.
Often times, we're so keen to get our finger on the pulse, that we might cast important topics aside. Algorithmic manipulation and the radicalization impact on youth, the consequences of insufficiently diverse training data, or simply key ethical frameworks: these are all highly critical hemispheres in the broader conversation around AI that are, in many boardrooms and classrooms, left behind.
With a legal background in the governance and regulation of digital technologies and experience consulting for humanitarian organizations and academic institutions, I want my learning programs, workshops, and keynotes to focus more on responsible, human-centered AI development.
Understanding more existential questions around algorithmic injustice, and taking a deeper dive into the concepts of universal design are what can make the difference.
DELIVERABLES
Teaching in the Algorithmic Age
What your students already know
An honest audit of AI use in schools, what students are actually doing, and what that means for learning.
AI literacy across the curriculum
AI literacy as a lens, not a discipline of its own. Integration points across humanities, sciences, arts.
Plus: recognizing and responding to the algorithmic radicalization pipeline.
Assessment in an AI-present classroom
Redesigning assessments for process, argumentation, and original thinking.
Academic integrity without panic
What detection tools can and cannot do. Developing classroom AI use policies collaboratively with students.
Teaching critical thinking about AI
Lesson planning workshop using the IRIS framework. Participants design one lesson for interrogating AI-curated content.
teaching for teachers
K-12 staff
Being in the classroom at the same time as Tinder and TikTok is a tough task. What are your students consuming, and can we continue to assess them in the same way as before?
- Algorithmic radicalization and the classroom
- Reevaluating assessment criteria
- Tackling engagement and attention deficit
- Half-day intensive
- Groups of 12-50
- Find out more - contact us
DELIVERABLES
Native Digital Thinkers & Tech Literacy
What is AI, really?
Cutting through myth and marketing to understand how recommendation engines work and why your feed looks the way it does.
Who decides what I see?
Filter bubbles, algorithmic amplification, and the business model behind the feed.
Whose AI is it anyway?
Who builds AI and who doesn't. Bias in training data. Case studies from healthcare and criminal justice.
Thinking for yourself
Introduction to the IRIS framework and application in real-time. Students leave with a personal critical thinking toolkit.
Let's build better
Design thinking sprint. Small groups redesign one aspect of a social media algorithm with justice in mind.
digital natives and tech literacy
students (ages appx. 14-18)
We are shaped by technology we don't understand. Let's stop scrolling for a day and change that.
- Media literacy and epistemology - TOK adjacent
- Understanding algorithmic bias and influence
- Critical thinking frameworks
- 3-part series
- Groups of 12-50
- Find out more - contact us
DELIVERABLES
Boardroom Brief
Demystifying AI
A shared baseline: what AI actually is, what it cannot do, and why hype leads to bad decisions.
The regulatory landscape
EU AI Act and GDPR obligations, liability frameworks, and what real compliance looks like.
Governance by design & ESG
Building an AI governance framework from the inside out: roles, procurement, vendor due diligence. Does your ESG score take a hit if you begin rolling out supporting AI services?
Strategic decisions under uncertainty
How to make sound AI investment decisions when the technology moves faster than the evidence.
Your organisation's AI risk map
Facilitated workshop: participants leave with a prioritised risk register and immediate actions.
Boardroom brief
C-suite
AI governance for leaders who decide. No jargon, no computer science. Compliance, law, and the core of tech ethics.
- EU AI Act
- Corporate Liability
- Foundational ethics & ethics by design
- Half-day intensive
- Groups of 5-30
- Find out more - contact us
DELIVERABLES
Civil Society
AI and the communities you serve
Where AI is already affecting beneficiary communities: welfare, border control, housing, criminal justice. Evidence-based, justice-focused.
The regulatory landscape for civil society
EU AI Act for high-risk systems. GDPR in humanitarian contexts. Advocacy entry points and how to engage with policy processes.
Algorithmic bias and structural harm
How bias compounds existing inequalities. Framework for assessing whether an AI system is fit for deployment in your context.
Responsible AI adoption inside your organization
Evaluating AI tools for internal use. Questions to ask vendors. Minimal viable governance for resource-constrained teams.
Communicating about AI
Talking clearly about AI to donors, boards, and beneficiaries. Building shared vocabulary. Drafting an organizational AI position statement.
people, companies, activists, and the curious
NGOs, civil societies
Challenging the technologies that are making their way into our communities
- Human rights & ethics of AI use
- Adoption & regulatory landscape
- Communicating with other actors
- Half-day intensive
- Groups of 20-100
- Find out more - contact us