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Data ethics: What it means and what it takes

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Now more than ever, every company is a data company. By 2025, individuals and companies around the world will produce an estimated 463 exabytes of data each day, 1 1. Jeff Desjardins, "How much data is generated each day?" World Economic Forum, April 17, 2019. With that in mind, most businesses have begun to address the operational aspects of data management--for instance, determining how to build and maintain a data lake or how to integrate data scientists and other technology experts into existing teams. Fewer companies have systematically considered and started to address the ethical aspects of data management, which could have broad ramifications and responsibilities. If algorithms are trained with biased data sets or data sets are breached, sold without consent, or otherwise mishandled, for instance, companies can incur significant reputational and financial costs. Board members could even be held personally liable.


Principles for the Ethical Use of Artificial Intelligence in the United Nations System

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In September 2022, the United Nations System Chief Executives Board for Coordination endorsed the Principles for the Ethical Use of Artificial Intelligence in the United Nations System, developed through the High-level Committee on Programmes (HLCP) which approved the Principles at an intersessional meeting in July 2022. These Principles were developed by a workstream co-led by United Nations Educational, Scientific and Cultural Organization (UNESCO) and the Office of Information and Communications Technology of the United Nations Secretariat (OICT), in the HLCP Inter-Agency Working Group on Artificial Intelligence. The Principles are based on the Recommendation on the Ethics of Artificial Intelligence adopted by UNESCO's General Conference at its 41st session in November 2021. This set of ten principles, grounded in ethics and human rights, aims to guide the use of artificial intelligence (AI) across all stages of an AI system lifecycle across United Nations system entities. It is intended to be read with other related policies and international law, and includes the following principles: do no harm; defined purpose, necessity and proportionality; safety and security; fairness and non-discrimination; sustainability; right to privacy, data protection and data governance; human autonomy and oversight; transparency and explainability; responsibility and accountability; and inclusion and participation.


Council Post: What Tech Leaders Should Consider About The Ethical Use Of AI In The Metaverse

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Ryan Steelberg is President of Veritone. The widespread discussion of artificial intelligence (AI) in nearly every industry did not happen overnight. It has been a long time coming as tangible use cases have validated the importance of the technology for both commercial enterprises and government organizations. As adoption continues to rise, questions surrounding the ethical boundaries of the technology will only increase. With the advent of the metaverse, which utilizes AI-based technology such as synthetic media to drive immersive engagements in digital, decentralized worlds, ethical use will become an important point of concern for both brands and users.


Understanding the Ethical Use of Open Data While Protecting PII

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People have been wondering for years – when and even sometimes IF artificial intelligence will live up to its incredible potential. The technology is finally beginning to change industries and lives. Now implemented across everything from smartphone cameras and self-driving vehicles to manufacturing facilities, AI has racked up numerous high-profile success stories: People now rely on AI to silently optimize photos, perfect their parallel parking, and discover product defects. AI can either be cool or creepy, but it's currently on the right side of that line. At the same time, however, the public is becoming increasingly aware of AI ethics, as researchers and journalists question the sources of data powering AI innovations, and spotlight ways AI data is being misused by tech giants.


A call for ethical use of AI in Earth system science

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But as in all AI applications, the use of machine learning and other … are finding to creatively apply artificial intelligence in weather, …


A call for ethical use of AI in Earth system science

#artificialintelligence

Artificial intelligence holds vast potential to help solve a number of challenging problems in Earth system science, from improving prediction of severe weather events to increasing the efficiency of climate models. But as in all AI applications, the use of machine learning and other techniques in environmental science has the potential to introduce biases that could deepen inequities. The authors of a new paper published in the journal Environmental Data Science argue that researchers must develop ethical, responsible, and trustworthy approaches to applying AI in Earth system science to ensure that unintentional consequences do not worsen environmental and climate injustice. "It's really exciting to see all the ways researchers are finding to creatively apply artificial intelligence in weather, climate, and other environmental science research," said David John Gagne, a scientist at the National Center for Atmospheric Research (NCAR) and a paper co-author. "But we have a responsibility to ensure that we don't cause more harm than good."


Artificial Intelligence Requires Ethics, Compliance and Data Checklist

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Marco Iansiti and Karin Lakhani write in their book, Competing in the Age of AI, "the learning algorithms at the heart of new digital systems can be misused to tailor, optimize and amplify inaccurate and harmful information from targeting and shaping misleading ads to creating highly realistic fake social personas that are used to extract personal information from users." The question is what should CIOs and other data leaders do to protect enterprises and their key stakeholders? CIO Anthony McMahon of Target State Consulting suggests in a recent #CIOChat on Twitter that ethical and privacy issues are not unique to artificial intelligence (AI). "Every decision on how to use data, either in platform or offline, has an ethical consideration," he said. Other data leaders claim there are all sorts of unique ethical and privacy issues to AI. Privacy is particularly important when a piece of data becomes connected in a new and novel way.


15 AI Ethics Leaders Showing The World The Way Of The Future

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When working with their clients Accenture under Tricarico's guidance focuses on "on guiding (their) clients to more safely scale their use of AI, and build a culture of confidence within their organizations." Not all companies have an established north star of AI use. Companies and partners like Accenture are vital to these companies and their proper and ethical use of the technology.


Fairness, Bias, and Appropriate Use of Machine Learning

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Artificial Intelligence and Machine Learning are increasingly being used to automate decision-making in many sectors within international development. Although computer intelligence is continuously improving, it has been shown that improper implementation of these algorithms can lead to strong bias, unfairness, or exclusion of certain groups. This research project helps determine guidelines of ethical use of machine learning in developing countries, developing a framework of use of machine learning with criteria of fairness and appropriate use, discovering partnerships in industry, academia, or government in developing countries, and building capacity through educational materials and datasets shared with the world at the end of the research. Integral to this effort are case studies of several sites abroad and in the US which focus on different aspects of applications of machine learning, from employment, to medicine, education, lending, devices, to name a few. The output of this research includes a framework for appropriate and ethical use of machine learning methods based on the interdisciplinary case studies, data analyses, meta-analyses, and pedagogical materials which can be integrated into future machine learning courses around the world.


Ethics in voice technologies

AIHub

The ethical use of voice technologies, such as speech and voice recognition, is becoming more important every day. Devices such as smart speakers, smartphones or smartwatches collect massive amounts of data from users thanks to the wide range of activities they allow (e.g., asking questions, setting reminders, checking bank accounts, accessing calendars, etc.). This data, as you might imagine, is often personal or private by nature. Companies offering services through these gadgets now have to assure not only a legal processing of user's data but also an ethical one. The above issue is not the only one that concerns ethics.