Ethical Considerations for AI Researchers

• URL: http://arxiv.org/abs/2006.07558v1
• Date: Sat, 13 Jun 2020 04:31:42 GMT
• Title: Ethical Considerations for AI Researchers
• Authors: Kyle Dent
• Abstract summary: Use of artificial intelligence is growing and expanding into applications that impact people's lives. There is the potential for harm and we are already seeing examples of that in the world. While the ethics of AI is not clear-cut, there are guidelines we can consider to minimize the harm we might introduce.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Use of artificial intelligence is growing and expanding into applications that impact people's lives. People trust their technology without really understanding it or its limitations. There is the potential for harm and we are already seeing examples of that in the world. AI researchers have an obligation to consider the impact of intelligent applications they work on. While the ethics of AI is not clear-cut, there are guidelines we can consider to minimize the harm we might introduce.

Related papers

• Control Risk for Potential Misuse of Artificial Intelligence in Science [85.91232985405554]
  We aim to raise awareness of the dangers of AI misuse in science. We highlight real-world examples of misuse in chemical science. We propose a system called SciGuard to control misuse risks for AI models in science.
  arXiv  Detail & Related papers  (2023-12-11T18:50:57Z)
• Responsible AI Research Needs Impact Statements Too [51.37368267352821]
  Work in responsible artificial intelligence (RAI), ethical AI, or ethics in AI is no exception. Work in responsible artificial intelligence (RAI), ethical AI, or ethics in AI is no exception.
  arXiv  Detail & Related papers  (2023-11-20T14:02:28Z)
• ChatGPT, Large Language Technologies, and the Bumpy Road of Benefiting Humanity [2.28438857884398]
  The promise that AI technologies will benefit all of humanity is empty so long as we lack a nuanced understanding of what humanity is supposed to be in the face of widening global inequality and pressing existential threats. We also need to develop standards in a sustainable and equitable way that differentiate between merely speculative and well-researched questions. Failure to do so could result in a future in which our AI technological advancements outstrip our ability to navigate their ethical and social implications.
  arXiv  Detail & Related papers  (2023-04-21T22:53:45Z)
• Artificial Influence: An Analysis Of AI-Driven Persuasion [0.0]
  We warn that ubiquitous highlypersuasive AI systems could alter our information environment so significantly so as to contribute to a loss of human control of our own future. We conclude that none of these solutions will be airtight, and that individuals and governments will need to take active steps to guard against the most pernicious effects of persuasive AI.
  arXiv  Detail & Related papers  (2023-03-15T16:05:11Z)
• AI Ethics Issues in Real World: Evidence from AI Incident Database [0.6091702876917279]
  We identify 13 application areas which often see unethical use of AI, with intelligent service robots, language/vision models and autonomous driving taking the lead. Ethical issues appear in 8 different forms, from inappropriate use and racial discrimination, to physical safety and unfair algorithm.
  arXiv  Detail & Related papers  (2022-06-15T16:25:57Z)
• Metaethical Perspectives on 'Benchmarking' AI Ethics [81.65697003067841]
  Benchmarks are seen as the cornerstone for measuring technical progress in Artificial Intelligence (AI) research. An increasingly prominent research area in AI is ethics, which currently has no set of benchmarks nor commonly accepted way for measuring the 'ethicality' of an AI system. We argue that it makes more sense to talk about 'values' rather than 'ethics' when considering the possible actions of present and future AI systems.
  arXiv  Detail & Related papers  (2022-04-11T14:36:39Z)
• Cybertrust: From Explainable to Actionable and Interpretable AI (AI2) [58.981120701284816]
  Actionable and Interpretable AI (AI2) will incorporate explicit quantifications and visualizations of user confidence in AI recommendations. It will allow examining and testing of AI system predictions to establish a basis for trust in the systems' decision making.
  arXiv  Detail & Related papers  (2022-01-26T18:53:09Z)
• Trustworthy AI: A Computational Perspective [54.80482955088197]
  We focus on six of the most crucial dimensions in achieving trustworthy AI: (i) Safety & Robustness, (ii) Non-discrimination & Fairness, (iii) Explainability, (iv) Privacy, (v) Accountability & Auditability, and (vi) Environmental Well-Being. For each dimension, we review the recent related technologies according to a taxonomy and summarize their applications in real-world systems.
  arXiv  Detail & Related papers  (2021-07-12T14:21:46Z)
• Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
  In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests. This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
  arXiv  Detail & Related papers  (2021-06-25T22:31:55Z)
• Expected Utilitarianism [0.0]
  We want artificial intelligence (AI) to be beneficial. This is the grounding assumption of most of the attitudes towards AI research. We want AI to help, not hinder, humans. Yet what exactly this entails in theory and in practice is not immediately apparent. We have two conclusions that arise from this. First, is that if one believes that a beneficial AI is an ethical AI, then one is committed to a framework that posits 'benefit' is tantamount to the greatest good for the greatest number. Second, if the AI relies on RL, then the way it reasons about itself, the environment, and other agents
  arXiv  Detail & Related papers  (2020-07-19T15:44:04Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.