1:01Draw the decision before choosing the tool
Start with the workflow, human decisions and intended benefit.
22 passages exploring the summit’s ideas through explanations, practical cases, objections and open questions.
1:01Start with the workflow, human decisions and intended benefit.
1:18A practitioner challenges short grants that leave nobody to monitor deployed systems.
1:47Why trials, qualitative knowledge and institutional analysis answer different questions.
2:23The adoption gap starts before installation: devices, data cost and household control.
3:11Fairbnb’s publicity did not solve marketplace density and matching problems.
2:57Overseas subsidiaries expose the limits and conditions of a shared-ownership model.
1:02A share of profits and influence over dominant firms are separate questions.
1:43Sharetribe’s founders retained voting control before a later democratic transition.
2:52A study distinguishes representation, votes and the power to stop a decision.
2:09An API change exposed the recurring costs and legal responsibilities of shared data.
1:16Knowing origin does not settle due diligence, participation or the distribution of benefits.
1:54The transition debate must also consider demand, sufficiency and rights holders.
2:36More complete checks can reveal problems while creating a commercial penalty for the verifier.
3:23An objection is followed by proposals on bargaining power and audit savings—not evidence of payment.
0:40The moderator explains why physical processing capacity is needed for reporting to lead to improvement.
3:33Local-model optimism meets a challenge about resources and bargaining power.
1:14Methods, assumptions, purpose and escalation remain decisions people must own.
2:19The final exchange brings data feminism, intersectionality and an Afrofeminist lens into the readiness discussion.
1:11Nuria Oliver explains why AI infrastructure depends on talent, opportunity and support for people whose work is changing.
1:24Bhaskar Chakravorti connects competition, institutions and public agency as starting points for changing who benefits from AI.
0:51Jens Lowitzsch explains how a renewable-energy ownership model uses trusteeship and future returns to include people without existing savings.
0:42MONDRAGON’s Ander Etxeberria Otadui describes training, transfers and supported retirement as responses to automation.