In: The Stanford Encyclopedia of Philosophy, Edward N. Zalta (ed.) Read The Repugnant Conclusion

In Stephen M. Gardiner (red), The Oxford Handbook of Intergenerational Justice, Oxford Academic. Abstract The repugnant conclusion can be formulated as follows: For any population consisting of people wi

in: Technology in Society. 63, 101396 Abstract:Artificial Intelligence (AI) in the form of Deep Learning (DL) technology has diffused in the consumer domain in a unique way as compared to previous gene, i.e., by being added to preexisting technologies that are already in use. We find that DL-algorithms for recommendations or ranking have been infused into all the 15 most popular mobile applications (apps) in the U.S. (as of May 2019). DL-infusion enables fast and vast diffusion. For example, when a DL-system was infused into YouTube, it almost immediately reached a third of the world's population. We argue that existing theories of innovation diffusion and adoption have limited relevance for DL-infusion, because it is a process that is driven by enterprises rather than individuals. We also discuss its social and ethical implications. First, consumers have a limited ability to detect and evaluate an infused technology. DL-infusion may thus help to explain why AI's presence in society has not been challenged by many. Second, the DL-providers are likely to face conflicts of interest, since consumer and supplier goals are not always aligned. Third, infusion is likely to be a particularly important diffusion process for DL-technologies as compared to other innovations, because they need large data sets to function well, which can be drawn from preexisting users. Related, it seems that larger technology companies comparatively benefit more from DL-infusion, because they already have many users. This suggests that the value drawn from DL is likely to follow a Matthew Effect of accumulated advantage online: many preexisting users provide a lot of behavioral data, which bring about better DL-driven features, which attract even more users, etc. Such a self-reinforcing process could limit the possibilities for new companies to compete. This way, the notion of DL-infusion may put light on the power shift that comes with the presence of AI in society.

In Hanemaayer, A. (editor) Artificial Intelligence and Its Discontents. Palgrave. Abstract AI has often reached individuals covertly, rather than by their own choosing. Standard automatic version update

Erik Angner, Professor of Practical Philosophy Abstract The nudge agenda due to Richard Thaler and Cass Sunstein has proven polarizing. To advocates, nudging allows us to improve people’s choices and th

I Hanemaayer, A. (editor), Artificial Intelligence and Its Discontents. Palgrave. Abstract (book) On what basis can we challenge Artificial Intelligence (AI) - its infusion, investment, and implementatio

This project will examine what behavioral economics and the nudge agenda are, to get a better understanding of contemporary economics and where it is heading.

Ethics of coordination

We need new ethics to understand our duties towards others in matters such as climate change.

Reducing populations' vulnerabilities to mis-disinformation related to scientific content

The purpose of this project is to develop evidence-based strategies to address populations’ vulnerabilities to scientific mis-disinformation.

i:  Economics and Philosophy Vol. 36:1 AbstractCritical-Range Utilitarianism is a variant of Total Utilitarianism which can avoid both the Repugnant Conclusion and the Sadistic Conclusion in population