OpenResearch Unconditional Cash Study: Research Insights and Early Learnings

OpenResearch Unconditional Cash Study: Research Insights and Early Learnings

This two-hour conversation with Dr. Karina Dotson and Dr. Elizabeth Rhodes will see the researchers behind the pioneering OpenResearch Unconditional Basic Income Pilot to present their initial results. This pilot was one of the largest UBI pilots to date and has generated significant media interest due to its scale, quality, and association with OpenAI Founder, Sam Altman. The pilot randomly assigned 1000 individuals to receive $1000 per month and 2000 individuals to receive $50 per month for three years. The study has involved multiple rounds of survey and in-depth qualitative research looking at impacts on work, wellbeing, health, education, and more. The session will combine an extended presentation and ample time for questions.

When? 3pm UK Time, Weds Nov 13th

Where: For the Zoom link, click here.

New report on the Ethics of Basic Income Piloting

New report on the Ethics of Basic Income Piloting

Increasing calls for reform to welfare provision have seen growing support for basic income (BI) – the unconditional provision of cash transfers to all. As a result, recent years have seen an exponential increase in the number of pilot experiments of BI, across all parts of the world. However, to date, there has been little discussion of the ethical considerations of such experiments. This paper is the outcome of a workshop whereby BI piloters came together to discuss such ethical considerations, share case studies, and begin to formulate general principles to guide ethical BI experiments. The paper discusses the ethical considerations relevant to the various stages of a pilot experiment and concludes with some general principles: to do-no-harm, maintain respect, dignity, and agency; mitigate power inequalities, promote trust and transparency, and ensure substantive unconditionality. The authors of the paper hope to stimulate discussions towards an ethical protocol for better practice in BI experiments and provide a useful resource to those working on, or interested in, BI research.

To read the report click here.