24 papers · ranked by Valyu relevance
Bernd Carsten Stahl
Intelligent systems that are capable of making autonomous decisions based on input from their environment have great potential to do good, but they also raise significant social and ethical concerns. The discourse on ethics and artificial intelligence (AI) has covered these concerns in depth and developed an array of…
Jennafer S. Roberts, Laura N. Montoya
In this meta-ethnography, we explore three different angles of ethical artificial intelligence (AI) design implementation including the philosophical ethical viewpoint, the technical perspective, and framing through a political lens. Our qualitative research includes a literature review which highlights the cross…
Müller, Vincent C.
| 1 | | Historical and Intellectual Background 2 | | |---|----------------|------------------------------------------|--| | 2 | Main Debates 4 | | | | | 2.1 | Privacy 4 | | | | 2.2 | Manipulation 6 | | | | 2.3 | Opacity 7 | | | | 2.4 | Bias 8 | | | | 2.5 | Deception & Robots 9 | | | | 2.6 | Autonomy & Responsibility 11…
Connor Rees, Berndt Müller
Ethics of technology systems have become an area of interest in academic research as well as international policy in recent years. Several organisation have consequently published principles of ethical artificial intelligence (AI) in line with this trend. The documents identify principles, values, and other abstract…
Mona F Giersberg
Implications1. Ethics of artificial intelligence is a field of applied ethics that is concerned with novel and applied normative questions that arise with the development and use of artificial intelligence. In practice, it is important to engage with the ethics of artificial intelligence to understand these…
Emanuele Ratti
There is an overwhelming abundance of works in AI Ethics. This growth is chaotic because of how sudden it is, its volume, and its multidisciplinary nature. This makes difficult to keep track of debates, and to systematically characterize goals, research questions, methods, and expertise required by AI ethicists. In…
Jianlong Zhou, Fang Chen
Despite the much proliferation of AI ethical principles in recent years, there is a challenge of assuring AI ethics with current AI ethics frameworks in realworld applications. While system safety has emerged as a distinct discipline for a long time, originated from safety concerns in early aircraft manufacturing. The…
Kristina Šekrst, Jeremy McHugh, Jonathan Rodriguez Cefalù
Responsible AI Development Authors: ['Kristina Šekrst' 'Jeremy McHugh' 'Jonathan Rodriguez Cefalù'] This paper explores the development of an ethical guardrail framework for AI systems, emphasizing the importance of customizable guardrails that align with diverse user values and underlying ethics. We address the…
David De Cremer, Devesh Narayanan
In this paper, we argue that we cannot expect that AI systems-even given more data or better computational resources-will be more ethical than the humans who develop, deploy and use them. As such, we advocate that it is necessary to retain the responsibility for ethical decision-making in human hands. In reality…
Gonzalo Génova, Valentín Moreno, M. Rosario González
Is ethics a computable function? Can machines learn ethics like humans do? If teaching consists in no more than programming, training, indoctrinating… and if ethics is merely following a code of conduct, then yes, we can teach ethics to algorithmic machines. But if ethics is not merely about following a code of conduct…
Jakob Stenseke
Recent advancements in artificial intelligence (AI) have fueled widespread academic discourse on the ethics of AI within and across a diverse set of disciplines. One notable subfield of AI ethics is machine ethics, which seeks to implement ethical considerations into AI systems. However, since different research…
Thilo Hagendorff
– Several seminal ethics initiatives have stipulated sets of principles and standards for good technology development in the AI sector. However, widespread criticism has pointed out a lack of practical realization of these principles. Following that, AI ethics underwent a practical turn, but without deviating from the…
Ana Luize Corrêa Bertoncini, Mauricio C. Serafim
Artificial intelligence (AI) advancements are changing people’s lives in ways never imagined before. We argue that ethics used to be put in perspective by seeing technology as an instrument during the first machine age. However, the second machine age is already a reality, and the changes brought by AI are reshaping…
Travis LaCroix, Simon Prince
AI is poised to change society for better or worse. These technologies have enormous potential for social good (Taddeo and Floridi, 2018; Tomaˇsev et al., 2020), including important roles in healthcare (Rajpurkar et al., 2022) and the fight against climate change (Rolnick et al., 2023). However, they also have the…
Timothy Clark, Jillian Mohan, Leah Schaffer, Kirsten Obernier + 29 more
This article describes the Cell Maps for Artificial Intelligence (CM4AI) project and its goals, methods, standards, current datasets, software tools, status, and future directions. CM4AI is the Functional Genomics Data Generation Project in the U.S. National Institute of Health’s (NIH) Bridge2AI program. Its…
Authors not listed
As the utilization of artificial intelligence (AI) and generative AI (GenAI) is expanding in the educational field, presenting significant implications for STEM disciplines, it is bringing opportunities to enhance how chemistry and chemical engineering are taught and learned. This perspective critically explores the…
Satvik Tripathi, Alisha Isabelle Augustin, Farouk Dako, Edward Kim
Because of the growing need to provide better global healthcare, computer-based and robotic healthcare equipment that depend on artificial intelligence have seen an increase in development. In order to evaluate artificial intelligence (AI) in computer technology, the Turing test was created. For evaluating the future…
Timothy Clark, Harry Caufield, Jillian A. Parker, Sadnan Al Manir + 27 more
Biomedical research is rapidly adopting artificial intelligence (AI). Yet the inherent complexity of biomedical data preparation requires implementing actionable, robust criteria for ethical and explainable AI (XAI) at the "pre-model" stage, encompassing data acquisition, detailed transformations, and ethical…
Authors not listed
Artificial intelligence (AI) is reshaping scientific research by accelerating discovery and enabling the analysis of complex data that traditional methods struggle to handle. This review examines over 310,000 journal articles and patents from the CAS Content Collection (2015–2025), with a focus on, biomedical research…
Authors not listed
This article proposes a three-level classification of artificial intelligence (AI) application in chemical sciences, reflecting the increasing degree of technology involvement in scientific and production processes: from automation of routine tasks (the level of "AI Assistant"), to the creation of specialized…
Timothy Clark, Harry Caufield, Jillian A. Mohan, Sadnan Al Manir + 27 more
Biomedical research and clinical practice are in the midst of a transition toward significantly increased use of artificial intelligence (AI) and machine learning (ML) methods. These advances promise to enable qualitatively deeper insight into complex challenges formerly beyond the reach of analytic methods and human…
Authors not listed
The value of generative artificial intelligence (AI) for teaching and learning is currently hotly debated. Concerns regarding the accuracy of information produced by generative AI as well as student over-reliance on this tool coexist with excitement about tailored opportunities that AI may provide for educational…
Authors not listed
Artificial intelligence (AI) is poised to transform heterogeneous catalysis, ushering in a new paradigm for catalytic materials discovery. By uncovering intricate patterns in high-dimensional data, AI has been reshaping our pursuit of sustainable catalytic processes across the energy, environmental, and chemical…
Roshni A. Patel, Rachel A. Ungar, Alanna L. Pyke, Alvina Adimoelja + 11 more
Despite the profound impacts of scientific research, few scientists have received the necessary training to productively discuss the ethical and societal implications of their work. To address this critical gap, we – a group of predominantly human genetics trainees – developed a course on genetics, ethics, and society.…