Shaping
human-AI
collaboration
together
Image by Yutong Liu & Digit / https://betterimagesofai.org /
https://creativecommons.org/licenses/by/4.0/
Our mission
After the hype, what?
Everyone is doing something with AI. Few are asking whether it is the right thing. We are worried about adoption moving without a compass; shaped by tech-solutionism, driven by competitive pressure, narrated almost entirely by those who build and sell it.
The people who work closest to the human side of this transition are rarely in the same room as each other, let alone setting the agenda. We think that needs to change.
Some of the most important questions in human-AI collaboration don't have an answer yet. Some don't even have a clear owner. We are here to change that; by bringing the right people together, naming the blind spots honestly, and building a roadmap for the field.
Anne, Marieke & Lieke
What we do
Who we are
Who we're looking for
You might be:
- A researcher or academic in a relevant field, who wants their work to land beyond an academic paper
- A designer or UX professional who shapes how people actually experience AI systems, and feels the weight of that responsibility
- An ethicist or policy thinker who is tired of being called in at the end, and wants to help set the agenda from the start
- An entrepreneur, technologist or product leader who builds AI and genuinely wants to get it right for the people who use it
- An HR or organisational specialist who sees what AI is doing to teams, roles, and culture, and wants better answers than the ones currently on offer
Sessions
We currently have the following sessions planned.
* Time slot for sessions 1 - 4: from 12:00 until 14:00.
* Time slot for last session (on Nov 6th) is from 15:00 - 17:30.
Themes
- Personal autonomy in the AI age: How do we stay in control of AI that acts on our behalf? What do individuals have the right to expect from technology, from the tech sector, and from government?
- AI in the workplace: How do we ensure that AI adoption in the workplace strengthens rather than diminishes the professionalism, resilience, and satisfaction of the people doing the work?
- Democracy and the knowledge commons: How do we protect an informed citizenry when real and fabricated are increasingly indistinguishable? What does AI mean for the foundations of democratic society if it undermines our epistemic agency?
- Creativity and innovation: Does AI enhance or erode our capacity to think originally? How do we preserve the conditions for genuine creativity when AI becomes part of the process?
- Human connection: What happens to the way we relate to each other when AI mediates more and more of our interactions? How do we safeguard human connection, empathy, authenticity, and the social fabric of our society?