Work with thought leaders and academic experts in Data Ethics

Companies can benefit from working with experts in Data Ethics in several ways. These researchers can provide guidance on ethical data collection and usage, help develop policies and guidelines, conduct ethical audits, and offer training and education to employees. They can also assist in identifying and mitigating potential biases in algorithms and AI systems, ensuring fairness and transparency. Additionally, collaborating with academic researchers in Data Ethics can enhance a company's reputation, build trust with customers, and demonstrate a commitment to responsible data practices.

Researchers on NotedSource with backgrounds in Data Ethics include Mark Ryan, and Tim Gorichanaz.

Mark Ryan

7 Years Experience
Digital Ethics Researcher at Wageningen Economic Research
Education

National University of Ireland, Galway

PhD, Ethics - AI / 2015

Galway

National University of Ireland, Galway

MA, Philosophy / 2010

Galway

Carlow University

BA, Philosophy / 2008

Pittsburgh, Pennsylvania, United States of America
Experience

Wageningen University and Research Wageningen Economic Research

Digital Ethics Researcher at Wageningen Economic Research / August, 2020 — Present

He specialises in the ethics of AI, data-sharing, and robotics. In his work at Wageningen, his research gives a special attention to ethical and societal concerns of developing and implementing digital technologies

KTH Royal Institute of Technology

Postdoctoral Researcher / 2019 — 2020

In this position at KTH Royal Institute of Technology, I worked in the Department of Philosophy alongside Dr. Barbro Fröding on the ethics of technology, specifically focusing on the ethics of artificial intelligence. As part of my role, I published several international peer-reviewed articles, attended international conferences to disseminate my work, organised internal workshops, and applied for grant funding.

University of Twente

Postdoctoral Researcher / 2018 — 2019

In my position at University of Twente, I worked in the Department of Philosophy alongside Prof. Brey and Dr. Macnish on the prestigious and exciting 3 ½ - year international SHERPA Project that was funded through the European Union Horizon 2020 “Science with and for Society” program with a budget of 3 million euros. It had eleven participating organizations, ranging from universities to industry to human rights organizations, amongst others. The SHERPA project investigated, analyzed and synthesized our understanding of the ways in which Smart Information Systems (SIS - involving big data analytics and artificial intelligence) impact ethics and human rights issues. It developed novel ways of understanding and addressing their challenges, evaluated with stakeholders, and advocated the most desirable and sustainable solutions. My role in this project focused on the ethical evaluation of particular SIS technologies, the companies and organizations that use and implement them, and the societal implications of their widespread adoption and integration. As part of my role, I liaised with international organizations from an array of societal domains and evaluate their use of these emerging technologies.

Most Relevant Research Expertise
Data Ethics
Other Research Expertise (33)
Digital Ethics
Philosophy of Technology
Environmental Ethics
AI Ethics
Management of Technology and Innovation
And 28 more
About
Ryan’s primary research focuses on the ethical issues surrounding artificial intelligence and digital technology. He has published numerous papers on the topic, and has presented his work at various international conferences. He is also a member of the Association for Computing Machinery’s (ACM) Committee on Professional Ethics (COPE). Mark was previously a researcher at KTH University (Stockholm), the University of Twente (the Netherlands), and the National University of Ireland, Galway (Ireland). While at Twente, he worked on an interdisciplinary  project (SHERPA), involving 11 partners from 6 European countries. This project was a European Union Horizon 2020 project (2018-2021, budget €3 million) and focused on the ethical, social and human rights implications of smart information systems (data analytics and artificial intelligence) within a European context. He has published on topics, such as the ethics of smart cities, self-driving vehicles, agricultural data analytics, social robotics, and AI. In his previous research, he has also published a 2016 monograph: Human Values, Environmental Ethics and Sustainability.

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Tim Gorichanaz

Education

Drexel University

Research Expertise (0)

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Example Data Ethics projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Data Ethics?

Ethical Data Collection Framework

An academic researcher in Data Ethics can develop a framework for ethical data collection, ensuring that companies gather data in a responsible and privacy-conscious manner. This framework can help companies avoid unethical practices such as data scraping, unauthorized data sharing, and invasive data collection methods.

Algorithmic Bias Assessment

Working with a Data Ethics expert, companies can assess the potential biases in their algorithms and AI systems. The researcher can analyze the data inputs, model design, and decision-making processes to identify and mitigate biases that may lead to unfair outcomes or discrimination.

Ethical AI Guidelines

An academic researcher can help companies develop ethical guidelines for the development and deployment of AI systems. These guidelines can address issues such as transparency, accountability, privacy, and the responsible use of AI in decision making.

Data Privacy Audit

Collaborating with a Data Ethics researcher, companies can conduct a comprehensive audit of their data privacy practices. The researcher can assess data handling processes, consent mechanisms, data storage and security measures, and ensure compliance with relevant data protection regulations.

Ethics Training and Education

Data Ethics experts can provide training and education programs to employees, helping them understand the ethical implications of data-driven decision making. This training can cover topics such as data privacy, bias detection, responsible AI use, and ethical decision frameworks.