Artificial Intelligence Ethics and Safety: practical tools for creating
"good" models
- URL: http://arxiv.org/abs/2112.11208v1
- Date: Tue, 14 Dec 2021 19:10:05 GMT
- Title: Artificial Intelligence Ethics and Safety: practical tools for creating
"good" models
- Authors: Nicholas Kluge Corr\^ea
- Abstract summary: The AI Robotics Ethics Society (AIRES) is a non-profit organization founded in 2018 by Aaron Hui.
AIRES is now an organization with chapters at universities such as UCLA (Los Angeles), USC (University of Southern California), Caltech (California Institute of Technology), Stanford University, Cornell University, Brown University, and the Pontifical Catholic University of Rio Grande do Sul (Brazil)
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: The AI Robotics Ethics Society (AIRES) is a non-profit organization founded
in 2018 by Aaron Hui to promote awareness and the importance of ethical
implementation and regulation of AI. AIRES is now an organization with chapters
at universities such as UCLA (Los Angeles), USC (University of Southern
California), Caltech (California Institute of Technology), Stanford University,
Cornell University, Brown University, and the Pontifical Catholic University of
Rio Grande do Sul (Brazil). AIRES at PUCRS is the first international chapter
of AIRES, and as such, we are committed to promoting and enhancing the AIRES
Mission. Our mission is to focus on educating the AI leaders of tomorrow in
ethical principles to ensure that AI is created ethically and responsibly. As
there are still few proposals for how we should implement ethical principles
and normative guidelines in the practice of AI system development, the goal of
this work is to try to bridge this gap between discourse and praxis. Between
abstract principles and technical implementation. In this work, we seek to
introduce the reader to the topic of AI Ethics and Safety. At the same time, we
present several tools to help developers of intelligent systems develop "good"
models. This work is a developing guide published in English and Portuguese.
Contributions and suggestions are welcome.
Related papers
- Using AI Alignment Theory to understand the potential pitfalls of regulatory frameworks [55.2480439325792]
This paper critically examines the European Union's Artificial Intelligence Act (EU AI Act)
Uses insights from Alignment Theory (AT) research, which focuses on the potential pitfalls of technical alignment in Artificial Intelligence.
As we apply these concepts to the EU AI Act, we uncover potential vulnerabilities and areas for improvement in the regulation.
arXiv Detail & Related papers (2024-10-10T17:38:38Z) - POLARIS: A framework to guide the development of Trustworthy AI systems [3.02243271391691]
There is a significant gap between high-level AI ethics principles and low-level concrete practices for AI professionals.
We develop a novel holistic framework for Trustworthy AI - designed to bridge the gap between theory and practice.
Our goal is to empower AI professionals to confidently navigate the ethical dimensions of Trustworthy AI.
arXiv Detail & Related papers (2024-02-08T01:05:16Z) - On the Efficiency of Ethics as a Governing Tool for Artificial
Intelligence [0.0]
Artificial Intelligence Ethics and Safety is an emerging research field that has been gaining popularity in recent years.
Several private, public and non-governmental organizations have published guidelines proposing ethical principles for regulating the use and development of autonomous intelligent systems.
We would like to conduct a critical analysis of the current state of AI Ethics and suggest that this form of governance is not sufficient to norm the AI industry and its developers.
arXiv Detail & Related papers (2022-10-27T09:46:33Z) - Ethics in AI through the Practitioner's View: A Grounded Theory
Literature Review [12.941478155592502]
In recent years, numerous incidents have raised the profile of ethical issues in AI development and led to public concerns about the proliferation of AI technology in our everyday lives.
We conducted a grounded theory literature review (GTLR) of 38 primary empirical studies that included AI practitioners' views on ethics in AI.
We present a taxonomy of ethics in AI from practitioners' viewpoints to assist AI practitioners in identifying and understanding the different aspects of AI ethics.
arXiv Detail & Related papers (2022-06-20T00:28:51Z) - 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) - 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) - An interdisciplinary conceptual study of Artificial Intelligence (AI)
for helping benefit-risk assessment practices: Towards a comprehensive
qualification matrix of AI programs and devices (pre-print 2020) [55.41644538483948]
This paper proposes a comprehensive analysis of existing concepts coming from different disciplines tackling the notion of intelligence.
The aim is to identify shared notions or discrepancies to consider for qualifying AI systems.
arXiv Detail & Related papers (2021-05-07T12:01:31Z) - The State of AI Ethics Report (October 2020) [30.265104923077185]
The State of AI Ethics captures the most relevant developments in the field of AI Ethics since July 2020.
This report aims to help anyone, from machine learning experts to human rights activists and policymakers, quickly digest and understand the ever-changing developments in the field.
The State of AI Ethics includes exclusive content written by world-class AI Ethics experts from universities, research institutes, consulting firms, and governments.
arXiv Detail & Related papers (2020-11-05T12:36:16Z) - The Short Anthropological Guide to the Study of Ethical AI [91.3755431537592]
Short guide serves as both an introduction to AI ethics and social science and anthropological perspectives on the development of AI.
Aims to provide those unfamiliar with the field with an insight into the societal impact of AI systems and how, in turn, these systems can lead us to rethink how our world operates.
arXiv Detail & Related papers (2020-10-07T12:25:03Z) - ECCOLA -- a Method for Implementing Ethically Aligned AI Systems [11.31664099885664]
We present a method for implementing AI ethics into practice.
The method, ECCOLA, has been iteratively developed using a cyclical action design research approach.
arXiv Detail & Related papers (2020-04-17T17:57:07Z) - On the Morality of Artificial Intelligence [154.69452301122175]
We propose conceptual and practical principles and guidelines for Machine Learning research and deployment.
We insist on concrete actions that can be taken by practitioners to pursue a more ethical and moral practice of ML aimed at using AI for social good.
arXiv Detail & Related papers (2019-12-26T23:06:54Z)
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.