The Conduit
Expert in Residence Programme
Solutions Lead – AI for Good
The Conduit Solutions Leads are paid, part-time roles for senior practitioners and thought leaders who want to embed their expertise within The Conduit’s work to help identify, shape and advance real-world solutions to complex social and environmental challenges.
Solutions Leads act as the knowledge backbone for a specific Solutions Agenda area, working across The Conduit’s convenings and content to surface promising solutions, strengthen ecosystem connections and help translate insight into action.
This role sits alongside other Conduit programmes and is closely aligned with The Conduit’s Solutions Lab, which focuses on moving from dialogue to delivery.
The Role
The Solutions Lead for AI for Good helps steward and advance The Conduit’s AI for Good workstream, applying the organisation’s solutions model to identify pathways where AI and digital technologies can address societal and environmental challenges.
They bring recognised expertise across AI research, policy and applied social or environmental impact, offering a credible and authoritative perspective. Working across convenings, content and partnerships, the role ensures AI for Good activity is grounded in up-to-date insight, surfaces key debates and areas of tension, and translates discussion into practical pathways, pilots and partnerships aligned with The Conduit’s values and impact priorities.
Term & Compensation
Initial term: 6 months, with potential to renew
Time basis: Minimum 2 days per week (approximately 0.4 FTE)
Compensation: Competitive monthly stipend, commensurate with experience
Experts in Residence play a critical role in helping The Conduit move from insight and conversation toward credible, fundable action.
If you have any questions, please reach out to millydawson@theconduit.com
What You’ll Gain
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A platform to help shape and advance the AI for Good field
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Deep engagement with a cross-sector community of leaders, funders and practitioners
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Full Conduit membership for the duration of the role
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Access to curated convenings, salons and partner events
Expected Outcomes
By the end of the initial term, the Solutions Lead (AI for Good) will typically have contributed to:
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A clearer, shared understanding of the AI for Good solution landscape
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One or more well-scoped AI solution pathways with defined next steps
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High-quality, outcome-oriented convenings or Labs
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Knowledge outputs that inform practice, support field-building and shape The Conduit’s AI for Good strategy
Experts in Residence play a critical role in helping The Conduit move from insight and conversation toward credible, fundable action.
If you have any questions, please reach out to millydawson@theconduit.com
Scope of the Role
Over an initial six-month term (with the possibility of renewal), the Solutions Lead – AI for Good will contribute across four main areas:
1. Convening and Programme Shaping
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Embed across The Conduit’s AI for Good convenings and programming, serving as a facilitator, contributor or speaker where appropriate
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Advise on, co-design and help shape a defined number of AI-focused events, workshops and roundtables, including agendas, session framing, outputs and participant mix, to ensure convenings are solution-oriented and grounded
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Identify and communicate areas that The Conduit can convene uniquely, unlocking collaboration or catalysing action not happening elsewhere
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Ensure insights and learning from convenings feed into broader AI for Good strategy, aligning across events and workshops and building a coherent narrative for internal teams and external partners
2. Solutions Scouting & Landscape Insight
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Identify and map priority AI for Good solution pathways emerging from convenings, research and other Conduit activities
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Assess the feasibility, risks and practical considerations of these pathways, and help shape them into well-defined proposals or initiatives ready for funding and implementation
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Stay embedded in the AI for Good ecosystem, tracking key trends, emerging tools and social or environmental applications
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Represent The Conduit externally and bring back insights to inform strategy, programming and internal decision-making
3. Knowledge & Thought Leadership
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Research and write original thought leadership on AI for Good in close partnership with Conduit colleagues
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Develop, contribute to and review insight reports, briefs and synthesis outputs linked to AI for Good convenings
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Help shape clear, credible narratives that balance opportunity with risk and advance responsible, practical AI adoption
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Position The Conduit as a trusted platform for AI for Good action and share relevant work through professional networks
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Produce tangible outputs such as ecosystem maps, solution frameworks or case studies that inform internal strategy and advance the field
4. Ecosystem & Relationship Building
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Introduce relevant AI practitioners, researchers, civil society leaders, funders and organisations into The Conduit ecosystem
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Support relationship-building with partners and delivery organisations aligned to the AI for Good workstream
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Help connect ideas, people and capital in ways that accelerate responsible AI solutions
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Serve as a connector across sectors, brokering partnerships between research, civil society, policy and funders to accelerate credible AI for Good solutions
Who we are looking for:
Solutions Leads are typically individuals who are:
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Senior practitioners, system leaders or subject-matter experts in their field
Well-networked across philanthropy, policy, civil society and business
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Comfortable operating at both strategic and practical levels
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Based in London or New York within easy travel distance, with regular in-person engagement expected
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Employed, self-employed or portfolio-based professionals looking to complement existing work
Strategic AI knowledge
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Strong understanding of AI concepts, trends and applications, particularly as they relate to social impact, ethics and sector-specific use cases
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Ability to identify emerging AI solutions, gaps, risks and opportunities from within convenings
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Familiarity with AI governance, responsible AI frameworks and societal implications
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Hands-on technical awareness (not necessarily coding) and understanding of AI limitations, biases and ethical trade-offs, with the ability to evaluate solutions critically