The rise of artificial intelligence (AI) has significantly impacted urban environments, facilitating the development of smart cities. This paper examines how AI technologies are reshaping urban ecosystems by fostering innovation and promoting sustainability. It explores the integration of AI in critical sectors such as transportation, energy management, waste management, and governance. The study also addresses challenges, including data privacy, ethical considerations, and the digital divide, offering insights into future research and policy directions. Smart cities serve as testbeds for innovative AI (...) applications, offering scalable solutions to urban challenges while advancing global sustainability goals. Urbanization presents challenges requiring innovative solutions. Artificial Intelligence (AI) is revolutionizing urban planning and smart city initiatives by enhancing efficiency, sustainability, and citizen-centric development. This paper explores how AI technologies contribute to. (shrink)

We are likely to have immersive virtual reality and ubiquitous augmented reality in the coming decades. At least some people will use extended reality or “the metaverse” to work, play and shop. In order to achieve the best possible versions of this virtual future, however, we will need to learn from three decades of regulating the Internet. The new virtual world cannot consist of walled corporate fiefdoms ruled only by profitmaximization. The interests of workers, consumers and citizens in virtuality require (...) proactive legislation and oversight. -/- This white paper first addresses the central question the metaverse poses, whether virtual life is inherently more alienating and less authentic than face-to-face life experiences. This question is both a philosophical question about the nature of the good life and an empirical question about the accumulating evidence about the impacts of the digital on subjective well-being. -/- . (shrink)

Extended Reality (XR) and Large Language Model (LLM) technologies have the potential to significantly influence higher education practices and pedagogy in the coming years. As these emerging technologies reshape the educational landscape, it is crucial for educators and higher education professionals to understand their implications and make informed policy decisions for both individual courses and universities as a whole. -/- This paper has two parts. In the first half, we give an overview of XR technologies and their potential future role (...) in higher education. Then, we discuss the benefits and challenges of adopting and integrating XR technologies into higher education settings. Finally, we offer recommendations for educators, administrators, and policymakers on how to approach the adoption of this set of technologies and set institutional policy to take advantage of its benefits while minimizing its potential negative consequences. -/- In the paper’s second half, we discuss LLMs - specifically Generative Pre-trained Transformers (GPTs). Again, we provide an overview of this rapidly developing technology and examine its unprecedented and potentially disruptive impact on higher education pedagogy. We delve into the benefits and limitations of GPTs, highlighting the pedagogical and ethical challenges they may pose. Finally, we present actionable recommendations for instructors and administrators at both the course level and the university-wide level to guide policy decisions concerning these transformative technologies. (shrink)

The mental health crisis and loneliness epidemic have sparked a growing interest in leveraging artificial intelligence (AI) and chatbots as a potential solution. This report examines the benefits and risks of incorporating chatbots in mental health treatment. AI is used for mental health diagnosis and treatment decision-making and to train therapists on virtual patients. Chatbots are employed as always-available intermediaries with therapists, flagging symptoms for human intervention. But chatbots are also sold as stand-alone virtual therapists or as friends and lovers. (...) There is evidence that these uses of AI and chatbots can provide better quality service, improve accessibility, and lower costs. The systems can reduce the stigma and shame of sharing their problems and leverage a mass of biometric and behavioral data to supplement self-reports. As the systems' intelligence rapidly improves, they will need to be rigorously tested for the accuracy and precision of their diagnoses and the quality of their interactions with patients. As chatbots become indistinguishable from humans and leverage their superhuman capacity to detect affect and draw on knowledge of a patient’s life, patients will be drawn to attribute personality to and relationship with the chatbot. Consequently, it will be essential to study what the “therapeutic alliance” with an actual human counselor provides and the risks of patients attributing such a relationship to a one-sided or “parasocial” relationship. (shrink)

We can distinguish between ambitious metanormative constructivism and a variety of other constructivist projects in ethics and metaethics. Ambitious metanormative constructivism is the project of either developing a type of new metanormative theory, worthy of the label “constructivism”, that is distinct from the existing types of metaethical, or metanormative, theories already on the table—various realisms, non-cognitivisms, error-theories and so on—or showing that the questions that lead to these existing types of theories are somehow fundamentally confused. Natural ways of pursuing the (...) project of ambitious metanormative constructivism lead to certain obvious, and related, worries about whether the ambitions are really being achieved—that is whether we really are being given a distinctive theory. I will argue that responding to these initial worries pushes ambitious metanormative constructivism towards adopting a kind of position that I will call “constructivism all the way down”. Such a position does see off most of the above initial worries. Drawing on the work of Ralph Walker and Crispin Wright, I argue, however, that it faces a distinct objection that is a descendent of Bertrand Russell’s Bishop Stubbs objection against coherentist theories of truth. I grant that the constructivist need not be a coherentist about truth. I argue, however, that despite this the constructivist cannot escape my version of the objection. I also distinguish between this objection and various traditional charges of circularity, regress, relativism, or psychologistic reductionism. (shrink)