Artificial intelligence (AI) was initially developed as an implicit moral agent to solve simple and clearly defined tasks where all options are predictable. However, it is now part of our daily life powering cell phones, cameras, watches, thermostats, vacuums, cars, and much more. This has raised numerous concerns and some scholars and practitioners stress the dangers of AI and argue against its development as moral agents that can reason about ethics (e.g., Bryson 2008; Johnson and Miller 2008; Sharkey 2017; Tonkens 2009; van Wynsberghe and Robbins 2019). Even though we acknowledge the potential threat, in line with most other scholars (e.g., Anderson and Anderson 2010; Moor 2006; Scheutz 2016; Wallach 2010), we argue that AI advancements cannot be stopped and developers need to prepare AI to sustain explicit moral agents and face ethical dilemmas in complex and morally salient environments.
Machine learning datasets have elicited concerns about privacy, bias, and unethical applications, leading to the retraction of prominent datasets such as DukeMTMC, MS-Celeb-1M, and Tiny Images. In response, the machine learning community has called for higher ethical standards in dataset creation. To help inform these efforts, we studied three influential but ethically problematic face and person recognition datasets -- Labeled Faces in the Wild (LFW), MS-Celeb-1M, and DukeMTM -- by analyzing nearly 1000 papers that cite them. We found that the creation of derivative datasets and models, broad…
Artificial Intelligence (AI) has the potential to significantly benefit or harm humanity. At present, a few for-profit companies largely control the development and use of this technology, and therefore determine its outcomes. In an effort to diversify and democratize work on AI, various groups are building open AI systems, investigating their risks, and discussing their ethics. In this paper, we demonstrate how blockchain technology can facilitate and formalize these efforts. Concretely, we analyze multiple use-cases for blockchain in AI research and development, including decentralized gover…
University of Toronto（多伦多大学）；Cornell University（康奈尔大学）；Microsoft Research（微软研究院）
An emerging theme in artificial intelligence research is the creation of models to simulate the decisions and behavior of specific people, in domains including game-playing, text generation, and artistic expression. These models go beyond earlier approaches in the way they are tailored to individuals, and the way they are designed for interaction rather than simply the reproduction of fixed, pre-computed behaviors. We refer to these as mimetic models, and in this paper we develop a framework for characterizing the ethical and social issues raised by their growing availability. Our framework in…
I intend to make a scientific contribution of my subjective experience as a single unit of self-described ``artist'' leveraging artificial intelligence as an assistive visual creation tool, in the hopes that it may provide some inspiration or deeper meaning for fellow artists and computer scientists in this medium. First, I will provide some background on my personal history thus far as an artist. Neither artist nor scientist can exist in a vaccuum, so I then will provide some (albeit a non-exhaustive list of) related work that has helped me contextualize my own work and thinking in this area.…
Societal, Economic, Ethical and Legal Challenges of the Digital Revolution: From Big Data to Deep Learning, Artificial Intelligence, and Manipulative Technologies
The goal of Artificial Intelligence based systems is to take decisions that have an effect in their environment and impact society. This points out to the necessity of mechanism that regulate the impact of this type of system in society. For this reason, it is priority to create the rules and specialized organizations that can oversight the following of such rules, particularly that human rights precepts at local and international level. This work proposes the creation, at the universities, of Ethical Committees or Commissions specialized on Artificial Intelligence that would be in charge of d…
From artificial to circular intelligence to support the well-being of our habitat
Royal Institute of Technology (KTH)（皇家理工学院）；Climate Action Center, Royal Institute of Technology (KTH)（气候行动中心，皇家理工学院）；IHCantabria - Instituto de Hidráulica Ambiental de la Universidad de Cantabria（坎塔布里亚水力学研究所，坎塔布里亚大学）；Andreco Studio and Futurecologies srl（Andreco工作室和Futurecologies有限公司）；Department of Energy Technology, Royal Institute of Technology (KTH)（能源技术系，皇家理工学院）；Centre of excellence for Anthropocene History, KTH Royal Institute of Technology（人类世历史卓越中心，皇家理工学院）；Sea the Change SrL（Sea the Change有限责任公司）；Department of Environmental Sciences, Informatics and Statistics (DAIS), Ca’ Foscari University of Venice（环境科学、信息学和统计系，威尼斯卡福斯卡里大学）
Development of management systems using artificial intelligence systems and machine learning methods for boards of directors (preprint, unofficial translation)
Moscow Institute of Physics and Technology（莫斯科物理技术学院）
Delft University of Technology（代尔夫特理工大学）；Center for Human-Compatible AI, UC Berkeley（加州大学伯克利分校人类兼容人工智能中心）；University of Wisconsin-Madison（威斯康星大学麦迪逊分校）
As AI systems are integrated into high stakes social domains, researchers now examine how to design and operate them in a safe and ethical manner. However, the criteria for identifying and diagnosing safety risks in complex social contexts remain unclear and contested. In this paper, we examine the vagueness in debates about the safety and ethical behavior of AI systems. We show how this vagueness cannot be resolved through mathematical formalism alone, instead requiring deliberation about the politics of development as well as the context of deployment. Drawing from a new sociotechnical lexic…
Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education
Technical University of Munich（慕尼黑工业大学）；TUM School of Social Sciences and Technology（慕尼黑工业大学社会科学与技术学院）；University of Georgia（佐治亚大学）；AI4STEM Education Center（AI4STEM教育中心）
