A5091307183- Ethics and Social Impacts of AI
- Artificial Intelligence in Healthcare and Education
- Neuroethics, Human Enhancement, Biomedical Innovations
- Adversarial Robustness in Machine Learning
- Innovation, Sustainability, Human-Machine Systems
- Ethics in Business and Education
- Blockchain Technology Applications and Security
- Digital Education and Society
- Music Technology and Sound Studies
- Radiology practices and education
- Data Quality and Management
- Syntax, Semantics, Linguistic Variation
- Social Sciences and Policies
- Information Technology and Learning
- Artificial Intelligence in Healthcare
- Cardiac Arrest and Resuscitation
- COVID-19 diagnosis using AI
- Robotic Process Automation Applications
- History of Science and Medicine
- Ethics in Clinical Research
- Employment, Labor, and Gender Studies
- Fashion and Cultural Textiles
- Cutaneous Melanoma Detection and Management
- Big Data Technologies and Applications
- Disaster Response and Management
Pace University
2019-2024
University of Trento
2023
Dyson (United Kingdom)
2020-2022
The ethical and societal implications of artificial intelligence systems raise concerns. In this article, we outline a novel process based on applied ethics, namely, Z-Inspection <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> , to assess if an AI system is trustworthy. We use the definition trustworthy given by high-level European Commission's expert group AI. general inspection that can be variety domains where are used, such as...
This paper documents how an ethically aligned co-design methodology ensures trustworthiness in the early design phase of artificial intelligence (AI) system component for healthcare. The explains decisions made by deep learning networks analyzing images skin lesions. trustworthy AI developed here used a holistic approach rather than static ethical checklist and required multidisciplinary team experts working with designers their managers. Ethical, legal, technical issues potentially arising...
The Internet of Musical Things (IoMusT) is an emerging field academic and industrial research that extends the to musical domain. Scarce has been conducted on fields ethical aspects, fill this gap we propose a framework for design evaluation IoMusT technologies applications. Besides being ethically rigorous, seeks be accessible information engineers, musicians, wider circle participants in IoMusT. purpose facilitate quicken process designing evaluating work at intersection network-based...
Acceleration ethics addresses the tension between innovation and safety in artificial intelligence. The acceleration argument is that most effective way to approach risks raised by with still more innovating. This paper begins defining theoretically. It composed of five elements: solves problems, intrinsically valuable, unknown encouraging, governance decentralized, embedded. Subsequently, illustrates framework a use-case, generative intelligence language tool developed Canadian...
Artificial Intelligence (AI) has the potential to greatly improve delivery of healthcare and other services that advance population health wellbeing. However, use AI in also brings risks may cause unintended harm. To guide future developments AI, High-Level Expert Group on set up by European Commission (EC), recently published ethics guidelines for what it terms “trustworthy” AI. These are aimed at a variety stakeholders, especially guiding practitioners toward more ethical robust...
This article's main contributions are twofold: 1) to demonstrate how apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for trustworthy AI in practice domain of healthcare and 2) investigate research question what does "trustworthy AI" mean at time COVID-19 pandemic. To this end, we present results a post-hoc self-assessment evaluate trustworthiness an system predicting multiregional score conveying degree lung compromise patients, developed verified by...
Does AI conform to humans, or will we AI? An ethical evaluation of AI-intensive companies allow investors knowledgeably participate in the decision. The is built from nine performance indicators that can be analyzed and scored reflect a technology’s human-centering. result objective investment guidance, as well empowered act accordance with their own values. Incorporating ethics into financial decisions strategy recognized by participants environmental, social, governance investing, however,...
In 1990, Gilles Deleuze published Postscript on the Societies of Control , an introduction to potentially suffocating reality nascent control society. This thirty-year update details how Deleuze’s conception has developed from a broad speculative vision into specific economic mechanisms clustering around personal information, big data, predictive analytics, and marketing. The central claim is that today’s advancing society coerces without prohibitions, through incentives are not grim but...
One objection to conventional AI ethics is that it slows innovation. This presentation responds by reconfiguring as an innovation accelerator. The critical elements develop from a contrast between Stability AI's Diffusion and OpenAI's Dall-E. By analyzing the divergent values underlying their opposed strategies for development deployment, five conceptions are identified common acceleration ethics. Uncertainty understood positive encouraging, rather than discouraging. Innovation conceived...
Abstract Three directions for the AI avant-garde are sketched against background of time. Posthumanism changes what we are, and belongs to radical future. Transhumanism how corresponds with past. Genhumanism who exists in present. While developing concepts, this essay intersects two ways theoretical debates about humanism face technological advance. First, it describes temporal divisions may cleanly differentiate post- transhumanism. Second, introduces generative humanism, which contributes...
AI ethics increasingly focuses on converting abstract principles into practical action. This case study documents nine lessons for the conversion learned while performing an evaluation a deployed medical device. The utilized ethical were adopted from Ethics Guidelines Trustworthy AI, and insights recommendations was accomplished by independent team composed of philosophers, technical experts.
Does AI conform to humans, or will we AI? An ethical evaluation of AI-intensive companies allow investors knowledgeably participate in the decision. The is built from nine performance indicators that can be analyzed and scored reflect a technology's human-centering. result objective investment guidance, as well empowered act accordance with their own values. Incorporating ethics into financial decisions strategy recognized by participants environmental, social, governance investing, however,...
This paper addresses the ethics of inclusion in artificial in-telligence context African fashion. Despite proliferation fashion-related AI applications and da-tasets global diversity remains limited, fash-ion is significantly underrepresented. docu-ments two use-cases that enhance AI's inclusivity by in-corporating sub-Saharan fashion elements. The first case details creation a Senegalese dataset model for classifying traditional apparel using transfer learning. second investigates wax...
Compartmentalizing our distinct personal identities is increasingly difficult in big data reality. Pictures of the person we were on past vacations resurface employers’ Google searches; LinkedIn which exhibits income level used as a dating web site. Whether vacation, at work, or seeking romance, digital selves stream together. One result that perennial ethical question about identity has spilled out philosophy departments and into real world. Ought possess one, unified coherently integrates...
Ethics evaluations of companies that function with AI at their core are increasingly required by regulation and law in Europe the US. Investors artificial intelligence (AI)-intensive also seek ethics as part nonfinancial information they gather about corporate performance, especially it relates to privacy algorithmic fairness. The result is an increasing demand for evaluations. costs time necessary perform audit, however, high, even prohibitive. To solve problem, natural language processing...
One objection to conventional AI ethics is that it slows innovation. This presentation responds by reconfiguring as an innovation accelerator. The critical elements develop from a contrast between Stability AI's Diffusion and OpenAI's Dall-E. By analyzing the divergent values underlying their opposed strategies for development deployment, five conceptions are identified common acceleration ethics. Uncertainty understood positive encouraging, rather than discouraging. Innovation conceived...