The rapid development of artificial intelligence (AI) is raising urgent questions about ethical and consumer protection issues — from potential bias in algorithmic recruiting decisions to the privacy implications of health monitoring applications.
This survey finds that policymakers have a clear vision of AI ethical risks — and are moving to implementation, while, in contrast, a much weaker consensus exists among companies. Read More
Tag Archives: Ethics
Artificial Intelligence Ethics Framework For The Intelligence Community
This is an ethics guide for United States Intelligence Community personnel on how to procure, design, build, use, protect, consume, and manage AI and related data. Answering these questions, in conjunction with your agency-specific procedures and practices, promotes ethical design of AI consistent with the Principles of AI Ethics for the Intelligence Community.
This guide is not a checklist and some of the concepts discussed herein may not apply in all instances. Instead, this guide is a living document intended to provide stakeholders with a reasoned approach to judgment and to assist with the documentation of considerations associated with the AI lifecycle. In doing so, this guide will enable mission through an enhanced understanding of goals between AI practitioners and managers while promoting the ethical use of AI. Read More
The State of AI Ethics Report (June 2020 — Montreal AI Ethics Institute)
These past few months have been especially challenging, and the deployment of technology in ways hitherto untested at an unrivaled pace has left the internet and technology watchers aghast. Artificial intelligence has become the byword for technological progress and is being used in everything from helping us combat the COVID-19 pandemic to nudging our attention in different directions as we all spend increasingly larger amounts of time online.
It has never been more important that we keep a sharp eye out on the development of this field and how it is shaping our society and interactions with each other. With this inaugural edition of the State of AI Ethics we hope to bring forward the most important developments that caught our attention at the Montreal AI Ethics Institute this past quarter. Our goal is to help you navigate this ever-evolving field swiftly and allow you and your organization to make informed decisions. Read More
New Government Guidelines Makes Accelerating Artificial Intelligence Possible
Prior to COVID-19, government investment in AI had surpassed billions of dollars in research and development. With a premium now placed on speed to develop vaccines and diagnostics for the coronavirus, there is a renewed emphasis on the role of AI and how governments can ensure it is used in a trusted manner.
The World Economic Forum’s Artificial Intelligence and Machine Learning team built and piloted with partners tools for governments to procure artificial intelligence solutions built with ethics in mind. The Procurement in a Box toolkit includes concrete advice for purchasing, risk assessments, proposal drafting and evaluation. Read More
The intelligence community is developing its own AI ethics
The Pentagon made headlines last month when it adopted its five principles for the use of artificial intelligence, marking the end of a months-long effort with significant public debate over what guidelines the department should employ as it develops new AI tools and AI-enabled technologies.
Less well known is that the intelligence community is developing its own principles governing the use of AI.
“The intelligence community has been doing it’s own work in this space as well. We’ve been doing it for quite a bit of time,” said Ben Huebner, chief of the Office of Director of National Intelligence’s Civil Liberties, Privacy, and Transparency Office, at an Intelligence and National Security Alliance event March 4. Read More
Artificial intelligence thinks it can detect if you’re telling the truth
The right combination of artificial intelligence and augmented reality could put and end to lies. That is the ambitious working hypothesis of several different teams of scientists, businesses, and institutions that have committed themselves to fighting deception by means of technology, so as to assure the safety of citizens around the world. The ethical debate resulting from these innovations is as complex as the mechanisms that must be applied to achieve this objective. Be that as it may, the first steps in this direction are being taken by means of devices that are as practical and affordable as smart phones and smart glasses. Read More
AI Principles: Recommendations on the Ethical Use of Artificial Intelligence by the Department of Defense
The leadership of the Department of Defense (DoD) tasked the Defense Innovation Board (DIB) with proposing Artificial Intelligence (AI) Ethics Principles for DoD for the design, development, and deployment of AI for both combat and non-combat purposes. Building upon the foundation of DoD’s existing ethical, legal, and policy frameworks and responsive
to the complexities of the rapidly evolving field of AI, the Board sought to develop principles consistent with the Department’s mission to deter war and ensure the country’s security. This document summarizes the DIB’s project and includes a brief background; an outline of enduring DoD ethics principles that transcend AI; a set of proposed AI Ethics Principles; and a set of recommendations to facilitate the Department’s adoption of these principles and advance the wider aim of promoting AI safety, security, and robustness. The DIB’s complete report includes detailed explanations and addresses the wider historical, policy, and theoretical context for these recommendations. It is available at innovation.defense.gov/ai.
The DIB is an independent federal advisory committee that provides advice and recommendations to DoD senior leaders; it does not speak for DoD. The purpose of this report is an earnest attempt to provide an opening for a thought-provoking dialogue internally to Department and externally in our wider society. The Department has the sole responsibility to determine how best to proceed with the recommendations made in this
report. Read More
EU White Paper On Artificial Intelligence – A European approach to excellence and trust
Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases), increasing the efficiency of farming, contributing to climate change mitigation and adaptation, improving the efficiency of production systems through predictive maintenance, increasing the security of Europeans, and in many other ways that we can only begin to imagine. At the same time, Artificial Intelligence (AI) entails a number of potential risks, such as opaque decision-making, gender-based or other kinds of discrimination, intrusion in our private lives or being used for criminal purposes.
Against a background of fierce global competition, a solid European approach is needed, building on the European strategy for AI presented in April 2011. To address the opportunities and challenges of AI, the EU must act as one and define its own way, based on European values, to promote the development and deployment of AI. Read More
Artificial Intelligence: the global landscape of ethics guidelines
In the last five years, private companies, research institutions as well as public sector organisations have issued principles and guidelines for ethical AI, yet there is debate about both what constitutes “ethical AI” and which ethical requirements, technical standards and best practices are needed for its realization. To investigate whether a global agreement on these questions is emerging, we mapped and analyzed the current corpus of principles and guidelines on ethical AI. Our results reveal a global convergence emerging around five ethical principles (transparency, justice and fairness, non-maleficence, responsibility and privacy), with substantive divergence in relation to how these principles are interpreted; why they are deemed important; what issue, domain or actors they pertain to; and how they should be implemented. Our findings highlight the importance of integrating guideline development efforts with substantive ethical analysis and adequate implementation strategies. Read More
Machine learning ethics: what you need to know and what you can do
Ethics is, without a doubt, one of the most important topics to emerge in machine learning and artificial intelligence over the last year. While the reasons for this are complex, it nevertheless underlines that the area has reached technological maturity. After all, if artificial intelligence systems weren’t having a real, demonstrable impact on wider society, why would anyone be worried about its ethical implications?
It’s easy to dismiss the debate around machine learning and artificial intelligence as abstract and irrelevant to engineers’ and developers’ immediate practical concerns. However this is wrong. Ethics needs to be seen as an important practical consideration for anyone using and building machine learning systems. Read More
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