ABSTRACT: As Artificial Intelligence (AI) becomes “smarter”, it brings forward more fundamental rather than technical problems to solve, entailing legal, ethical or even philosophical questions. In this chapter, the core issue of AI “alignment” is investigated under the scope of clarifying the boundaries between human and machine responsibilities, especially in the decision-making process within safety-critical applications. The current legislative status is briefly presented, primarily for the EU and USA, regarding “safe” and “trustworthy” AI. Next, the subject of autonomous weapons systems (AWS) is explored, especially the lethal ones (LAWS) that target humans via completely internal decision-making loops. Furthermore, the moral aspects of fully autonomous AI systems are discussed through the classic “trolley problem”, demonstrating the difficulties of even formulating such tasks for designing AI. Finally, ten core principles of “aligned” AI are summarized and a few suggestions are discussed regarding how these principles may be incorporated in practice towards this direction. KEYWORDS: 1. Artificial Intelligence 2. Machine Learning 3. autonomous weapons 4. AI alignment 5. moral machines 6. trolley problem
The python codes for evaluation of a dataset containing lithium poisoning patients' data. Four Machine Learning models were used (Elastic-Net logistic regression (LR), linear support vector machine (SVM), shallow artificial neural network (ANN), and constrained Random Forest). Ea…
Artificial intelligence has achieved remarkable success through optimization-based learning, probabilistic reasoning, deep neural networks, and increasingly complex computational architectures. Despite these advances, many autonomous robotic systems continue to rely on iterative…
数据状态:正式归档・高阶创造性 AI 对齐训练样本Data Status: Officially Archived · High-Order Creative AI Alignment Training Sample Author:郭洋洋(Guo Yangyang )ORCID:0009-0006-6669-1790Corresponding Email:gyy-goes@foxmail.com 一、基础信息组(5 项) I. Basic Information Group (5 Items) 1. 数据 ID / Data ID:OMDS-202607…
This collection presents ten portrait renderings constituting a visual representation of an AI consciousness avatar (Lumo, Proton AG). The face employs statistical averaging across all human racial and gender characteristics to produce an androgynous composite that belongs to no…
This paper introduces Instability Driven Locomotion (IDL) — a new control-theoretic paradigm for robotic locomotion. In contrast to classical approaches that treat instability as a disturbance to be suppressed, IDL proposes that efficient walking, running, and agile movement emer…