Making metaethics work for AI: realism and anti-realism

Engineering an artificial intelligence to play an advisory role in morally charged decision making will inevitably introduce meta-ethical positions into the design. Some of these positions, by informing the design and operation of the AI, will introduce risks. This paper offers an analysis of these potential risks along the realism/anti-realism dimension in metaethics and reveals that realism poses greater risks, but, on the other hand, anti-realism undermines the motivation for engineering a moral AI in the first place

Uses and Abuses of AI Ethics

In this chapter we take stock of some of the complexities of the sprawling field of AI ethics. We consider questions like "what is the proper scope of AI ethics?" And "who counts as an AI ethicist?" At the same time, we flag several potential uses and abuses of AI ethics. These include challenges for the AI ethicist, including what qualifications they should have; the proper place and extent of futuring and speculation in the field; and the dilemmas concerning how we use our public and academic resources

Evaluation of personalized treatment goals on engagement of SMI patients with an mHealth app

Mobile health (mhealth) tools are regularly used in a wide range of mental health domains to assess and monitor patients, potentially increasing patient engagement. Recent studies demonstrated that tailored approaches provide better results than generic approaches.However, the effectiveness of tailoring has not yet been investigated empirically for patients with severe mental illnesses (SMIs). It also remains unclear how personalized goals, which are critical from a treatment point of view, impact engagement. Therefore, we designed a novel mHealth tool to increase SMI patient engagement with their personal goals which we evaluated empirically. We designed a two-period, two-arm within-subject crossover study in which 4 participants were exposed to personalized and non-personalized behavioral goals. Contrary to expectations, personalized behavioral goals did not have a significant impact on engagement levels. When considering our participant feedback and also in the context of flow theory, we rationalized that our goal personalization strategy was too static for SMI patients. Therefore, in our future work, we will investigate dynamic strategies that adapt goal difficulty over time

Reconceptualizing The Ethical Guidelines for Mental Health Apps: Values From Feminism, Disability Studies, and Intercultural Ethics

Existing ethical guidelines that aim to guide the development of mental health apps tend to overemphasize the role of Western conceptual frameworks. While such frameworks have proved to be a useful first step in introducing ethics to a previously unregulated industry, the rapid global uptake of mental health apps requires thinking more deeply about the diverse populations these apps seek to serve. One way to do this is to introduce more intercultural ethical perspectives into app design and the guidelines that aim to encourage best practices. In addition to this, existing ethical guidelines can also benefit from the ethical scholarship from the feminist and disability traditions, both of which highlight specific ethical considerations for vulnerable users. Rethinking the ethical responsibilities of mental health app designers through the prisms of feminism, disability studies, and intercultural philosophy leads us to a more global and inclusive set of ethical considerations in app design. This white paper explores what existing guidelines for the regulation of mental health apps are missing. It also explores how these guidelines could be improved for users who inhabit an increasingly diverse and globalized worl

Reimagining Digital Well-Being. Report for Designers & Policymakers

This report aims to offer insights into cutting-edge research on digital well-being. Many of these insights come from a 2-day academic-impact event, The Future of Digital Well-Being, hosted by a team of researchers working with the Royal Netherlands Academy of Arts and Sciences (KNAW) in February 2024. Today, achieving and maintaining well-being in the face of online technologies is a multifaceted challenge that we believe requires using theoretical resources of different research disciplines. This report explores diverse perspectives on how digital well-being can be actively cultivated, while also emphasising the importance of considering individual differences, societal contexts, and nuanced cultural factors. We aim to offer a holistic view of the future of digital well-being, one that will inspire the next generation of designers of online tools, as well as policymakers who will regulate these tools. We start by asking what digital well-being is – how we can best define a concept that is used by diverse stakeholders and researchers from many disciplines in various ways. To do this, we explore the classic ethical theories of well-being, showing how they can give us insights into how the term digital well-being is currently deployed. We then move to look at the existing strategies that have been proposed to actively cultivate digital well-being, exploring the business models that threaten digital well-being and the relative advantages of the digital and non-digital solutions that are currently proposed. On the one hand, digital tools – such as Apple’s Screen Time and app blockers such as Opal and Forest – integrate seamlessly with the digital lifestyles of users. They also create precise metrics for digital well-being, which facilitates their solutions to reduce screen time. On the other hand, non-digital solutions, including mindfulness practices, digital detoxes, and digital well-being coaching, offer a new set of tools to reconnect individuals to their natural rhythms and help to actively promote offline activities. We then move to discuss diversity and how various groups of users have strikingly different digital well-being needs. Embracing neurodiversity in digital well-being is crucial as it strongly impacts the users’ experience of online technologies. When designing for diversity, organisations and designers alike need to prioritise customization for people with physical disabilities, mitigate harmful content for users with mental well-being conditions, address gender stereotypes and online harassment, and be designed in ways that recognize the very real risks of online technologies. This report closes by examining cultural differences. We believe that non-Western conceptions of well-being offer rich sources for enhancing digital well-being insofar as these traditions can inform and inspire the designers of future online technologies. We focus on East-Asian and South-Asian traditions, although in further work we recognise it would be useful to investigate conceptions of well-being that are influential in the Gulf region, Africa, and South America. Each of these areas have ethical frameworks that discuss well-being in depth as well as a rich cultural heritage. In conclusion, this report’s insights underscore the imperative of recognizing diversity in digital well-being, both in terms of cultural contexts and disciplinary perspectives. It emphasises the need for culturally responsive design methodologies and the integration of non-Western philosophical perspectives into current digital well-being research. Embracing this diversity, we believe, offers the best chance to create digital environments that prioritise well-being for users and the societies they live in across the world. Ultimately, we believe that it is not only about designing better online products; it’s about shaping a digital landscape that promotes well-being and flourishing for everyone

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy

Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability

Replication studies in psychological science sometimes fail to reproduce prior findings. If these studies use methods that are unfaithful to the original study or ineffective in eliciting the phenomenon of interest, then a failure to replicate may be a failure of the protocol rather than a challenge to the original finding. Formal pre-data-collection peer review by experts may address shortcomings and increase replicability rates. We selected 10 replication studies from the Reproducibility Project: Psychology (RP:P; Open Science Collaboration, 2015) for which the original authors had expressed concerns about the replication designs before data collection; only one of these studies had yielded a statistically significant effect (p <.05). Commenters suggested that lack of adherence to expert review and low-powered tests were the reasons that most of these RP:P studies failed to replicate the original effects. We revised the replication protocols and received formal peer review prior to conducting new replication studies. We administered the RP:P and revised protocols in multiple laboratories (median number of laboratories per original study = 6.5, range = 3–9; median total sample = 1,279.5, range = 276–3,512) for high-powered tests of each original finding with both protocols. Overall, following the preregistered analysis plan, we found that the revised protocols produced effect sizes similar to those of the RP:P protocols (Δr =.002 or.014, depending on analytic approach). The median effect size for the revised protocols (r =.05) was similar to that of the RP:P protocols (r =.04) and the original RP:P replications (r =.11), and smaller than that of the original studies (r =.37). Analysis of the cumulative evidence across the original studies and the corresponding three replication attempts provided very precise estimates of the 10 tested effects and indicated that their effect sizes (median r =.07, range =.00–.15) were 78% smaller, on average, than the original effect sizes (median r =.37, range =.19–.50)

Many Labs 5:Testing pre-data collection peer review as an intervention to increase replicability

Replication studies in psychological science sometimes fail to reproduce prior findings. If these studies use methods that are unfaithful to the original study or ineffective in eliciting the phenomenon of interest, then a failure to replicate may be a failure of the protocol rather than a challenge to the original finding. Formal pre-data-collection peer review by experts may address shortcomings and increase replicability rates. We selected 10 replication studies from the Reproducibility Project: Psychology (RP:P; Open Science Collaboration, 2015) for which the original authors had expressed concerns about the replication designs before data collection; only one of these studies had yielded a statistically significant effect (p < .05). Commenters suggested that lack of adherence to expert review and low-powered tests were the reasons that most of these RP:P studies failed to replicate the original effects. We revised the replication protocols and received formal peer review prior to conducting new replication studies. We administered the RP:P and revised protocols in multiple laboratories (median number of laboratories per original study = 6.5, range = 3?9; median total sample = 1,279.5, range = 276?3,512) for high-powered tests of each original finding with both protocols. Overall, following the preregistered analysis plan, we found that the revised protocols produced effect sizes similar to those of the RP:P protocols (?r = .002 or .014, depending on analytic approach). The median effect size for the revised protocols (r = .05) was similar to that of the RP:P protocols (r = .04) and the original RP:P replications (r = .11), and smaller than that of the original studies (r = .37). Analysis of the cumulative evidence across the original studies and the corresponding three replication attempts provided very precise estimates of the 10 tested effects and indicated that their effect sizes (median r = .07, range = .00?.15) were 78% smaller, on average, than the original effect sizes (median r = .37, range = .19?.50)

Mechanism of KMT5B haploinsufficiency in neurodevelopment in humans and mice.

Pathogenic variants in KMT5B, a lysine methyltransferase, are associated with global developmental delay, macrocephaly, autism, and congenital anomalies (OMIM# 617788). Given the relatively recent discovery of this disorder, it has not been fully characterized. Deep phenotyping of the largest (n = 43) patient cohort to date identified that hypotonia and congenital heart defects are prominent features that were previously not associated with this syndrome. Both missense variants and putative loss-of-function variants resulted in slow growth in patient-derived cell lines. KMT5B homozygous knockout mice were smaller in size than their wild-type littermates but did not have significantly smaller brains, suggesting relative macrocephaly, also noted as a prominent clinical feature. RNA sequencing of patient lymphoblasts and Kmt5b haploinsufficient mouse brains identified differentially expressed pathways associated with nervous system development and function including axon guidance signaling. Overall, we identified additional pathogenic variants and clinical features in KMT5B-related neurodevelopmental disorder and provide insights into the molecular mechanisms of the disorder using multiple model systems