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An integrative review of microfluidics‐enabled wearables and implantable systems reveals a single‐track translation pipeline, bridging functional biomaterials with clinical utility. Dynamic feedback loops driven by artificial intelligence advance diagnostics toward personalized closed‐loop theranostics.
Ke Huang +3 more
wiley +1 more source
Mesoporous‐Shell Monolayer Plasmonic Architecture Enables Quantitative and Decision‐Guided SERS
Mesoporous‐shell‐regulated molecular transport combined with monolayer hotspot determinism transforms surface‐enhanced Raman spectroscopy (SERS) from ultrasensitive detection into quantitative and decision‐guided molecular sensing. ABSTRACT Quantitative surface‐enhanced Raman spectroscopy (SERS) has long been impeded by stochastic hotspot formation ...
Guangyao Huang +9 more
wiley +1 more source
One‐Step Immobilized Phage Depolymerase Coatings for Catheter‐Related Bloodstream Infections
Catheter‐related bloodstream infections (CRBSI) caused by drug‐resistant Gram‐negative bacteria remain a major clinical challenge. Here, a polydopamine‐assisted depolymerase coating degrades bacterial capsules and restores serum‐mediated killing, effectively suppressing biofilms and reducing bacterial burden in vitro, ex vivo, and in vivo, presenting a
Lingkai Dong +11 more
wiley +1 more source
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Communications of the ACM, 2023
The equation Ethics + AI = Ethical AI is questionable.
Johnson, Deborah G., Verdicchio, Mario
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The equation Ethics + AI = Ethical AI is questionable.
Johnson, Deborah G., Verdicchio, Mario
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The Ethics of AI vs Ethical AI
SSRN Electronic Journal, 2020A line of thought arguing that Artificial Intelligence is first and foremost "philosophy by other means ", and not simply a wonderful technology, must inevitably confront the ethical debates that have been going on for years on the responsibilities, moral choices, decisions that the advent of these systems will require. At the same time, this is not an
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The Ethics of the Ethics of AI
2020Abstract This chapter discusses several challenges for doing the ethics of artificial intelligence (AI). The challenges fall into five major categories: conceptual ambiguities within philosophy and AI scholarship; the estimation of AI risks; implementing machine ethics; epistemic issues of scientific explanation and prediction in what ...
Powers, Thomas, Ganascia, Jean-Gabriel
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Proceedings of the Halfway to the Future Symposium 2019, 2019
In this paper we use the EU guidelines on ethical AI, and the responses to it, as a starting point to discuss the problems with our community’s focus on such manifestos, principles, and sets of guidelines. We cover how industry and academia are at times complicit in ‘Ethics Washing’, how developing guidelines carries the risk of diluting our rights in ...
Donald McMillan, Barry A. T. Brown
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In this paper we use the EU guidelines on ethical AI, and the responses to it, as a starting point to discuss the problems with our community’s focus on such manifestos, principles, and sets of guidelines. We cover how industry and academia are at times complicit in ‘Ethics Washing’, how developing guidelines carries the risk of diluting our rights in ...
Donald McMillan, Barry A. T. Brown
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Legitimizing Ai: Ethical Ai in Corporate Ethics Statements
Corporate Communications: An International JournalPurpose As global businesses increasingly focus on AI governance, more companies have communicated their commitment to ethical AI practices through corporate AI ethics statements. Drawing on the legitimacy framework, this study investigates how these statements serve as mechanisms to align organizational AI ...
Jiali Zhang, Eyun-Jung Ki, Qinxian Cai
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The intersection of ethics and AI
AI Matters, 2019Artificial intelligence is a rapidly advancing field with the potential to revolutionize health care, transportation, and national security. Although the technology has been ubiquitous in every day society for a while, the advent of self-driving cars and smart home devices have propelled a discussion of the associated ethical risks and responsibilities.
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