Professor Suchit begins the session by summarizing the activities of the Ethical Data Initiative. He emphasizes that the initiative is jointly hosted by the University of Exeter and the Technical University of Munich, with a focus on fostering equity and responsibility in data practices. The initiative operates on three pillars: policy and networks, education, and engagement.
Professor Suchit highlights the importance of visiting their website to access resources in data ethics. He mentions specific activities such as education initiatives led by colleagues like Paul and Kim, the creation of an educational platform for open science, and ongoing work on a data ethics glossary. He also mentions future plans to expand their educational tools by creating data stories.
Professor Suchit invites the community to join the Ethical Data Initiative and collaborate on their work, stressing that it is a community activity. He encourages interested organizations to reach out as potential partners.
The discussion then shifts to Professor Natalie, who presents on data visitation. She begins by defining data visitation as a mechanism that allows controlled remote data analysis without transferring data to the processor. This is particularly useful for large datasets or sensitive information where full data transfer might pose risks.
Professor Natalie discusses the benefits of data visitation, including controlled access and processing without downloading the entire dataset. She mentions that data visitation agreements are crucial for ensuring proper consent, authorization, and notification processes.
She also highlights the importance of governing security measures and having protocols in place for handling data visitation-related violations. The discussion emphasizes that data ethics should be integral to data visitation solutions, ensuring that the process respects and protects both data and individuals.
The session continues with presentations from other professors on various aspects of ethics, data, and AI. The specific points discussed include:
The session concludes with a discussion led by Sabina, one of the leaders of the Ethical Data Initiative, who will discuss their three pillars. The group also has a forum discussion and a summary by Professor Kate.
Professor Suchit ends the session by noting that they will have discussions later to synthesize ideas and thoughts on the three pillars of the Ethical Data Initiative. He invites everyone to contribute their ideas and encourages further collaboration in this community-driven initiative.
The session is concluded with a promise from Professor Suchit that they will wrap up the meeting in an hour and a half.
The discussion opened with Francis's detailed explanation of data visitation, a mechanism that allows controlled use or future access to data while honoring the license accompanying it. He emphasized the importance of governing security measures and notification processes for violations, including scenarios where data might be hacked or manipulated. He highlighted the need for a board to determine notification processes and address harms caused by inappropriate data access.
Alexander Kribitz then presented on the Munich Convention on AI and Human Rights, a collaborative project between Ludwig Maximilian University, Technical University of Munich, Institute of Ethics and AI, and Swiss-based NGO Globe Ethics. The project aims to create an international framework aligning artificial intelligence with human rights. Kribitz discussed their work on a draft convention, outreach activities at the Geneva Peace Week, and the importance of addressing human rights issues in AI ecosystems.
Dr. Li Li shared insights from the Global Open Science Cloud, focusing on ethical challenges in developing data systems for crises. He discussed stages of crisis situations and associated data concerns, such as trustworthiness, bias, transparency, and accountability. Li Li mentioned recent collaborations on papers and tools like GDP and DeepSeq to address these challenges.
The discussion underscored the necessity of comprehensive ethical frameworks for AI data systems, especially in crisis situations.
The discussion revolves around the ethical implications and technical challenges associated with data systems, particularly in crisis situations. The speakers express concern about potential biases, discriminations, data vulnerabilities, and improper reuse of resources. They also discuss the accessibility of these resources for different stakeholders, including those from disadvantaged groups, across various regions and domains. The need for interoperable technical solutions to facilitate data flow is highlighted, especially in crisis situations.
The speakers emphasize the importance of trustworthy communication and best practices for appropriate ethical data use. They also mention the need for system-level audits to ensure the proper capture, use, and management of data throughout its lifecycle. Additionally, they discuss the importance of data literacy for citizens during recovery stages.
The speakers touch on the potential short-term and long-term impacts of a data system, including social, economic, environmental considerations. They also mention the ethical concerns related to capacity building and technology use based on facts.
The speakers propose a comprehensive approach, which they break down into four solutions: data preparedness through writer-based rules, quick and human-centered response with interoperable data systems, learning from past experiences to build a trustworthy ecosystem, and leveraging open science principles.
The speakers discuss the challenges of defining ethical concerns for crisis data systems and highlight the need to consider technical, management, and other factors together in a systematic manner.
The speakers also mention the importance of resilient data infrastructures for reliable crisis ethics and efficient governance of crisis data. They suggest that open science can be a useful tool to understand complex crisis situations, as it integrates data, technologies, policies, and communities.
The speakers touch on the potential relationship between ethical concerns and open science infrastructures. They express that this is an open-ended question, but they suggest that developing good open science infrastructures can address many ethical concerns.
Finally, the speakers discuss the potential for collaboration between different groups and institutions to develop educational material on data ethics and responsible data use. They also mention the possibility of including topics like data visitation in this material.
Overall, the discussion is focused on finding ways to address ethical concerns and technical challenges associated with data systems, particularly in crisis situations. The speakers emphasize the importance of a comprehensive approach that considers both ethical and technical factors.
The discussion revolves around two main themes: the ethical considerations and governance of AI systems, particularly in healthcare settings, and data sharing policies. The group agrees that research on AI's role in justice, equity, and bias, as well as its impact on responsible and reliable research practices, is crucial. They also recognize the importance of AI in crisis management, specifically addressing public health crises like pandemics and climate emergencies.
The speakers emphasize that while ethical data sharing is a priority, it should not be assumed as a given. Instead, they advocate for governing and designing data use to ensure ethical considerations are met. They acknowledge that the interpretation of what constitutes ethical behavior varies depending on context, such as time, place, and intended goals.
The group highlights the importance of close collaboration with researchers to better understand and address ethical concerns. They also discuss strategies for handling data in situations where stakeholders are larger than the group, emphasizing readiness to face stronger enforcement measures.
The conversation shifts to Francis Agama's contribution. He presents two initiatives—H3Africa and the DSI Africa project—that promote data sharing for health innovation in Africa. H3Africa encourages data sharing within its consortium, with a committee reviewing data access requests to ensure ethical use. The DSI Africa project leverages existing data, providing metadata and infrastructure for data visitation without downloading the original data.
Finally, Professor Alif introduces a white paper on ethics and governance of sentient AI. The white paper addresses challenges posed by electronic health data spaces, generative AI, and the potential emergence of sentient AI. It includes discussions on treating sentient beings, ethical obligations in healthcare settings, data ethics, and policy elements for proactive governance. The paper is still in its draft form, and the group encourages feedback to further develop it.
Professor Alif began the discussion by highlighting several ethical issues that need to be addressed in the deployment, implementation, and vigilance of AI technologies. These include ethical committees, responsibility and accountability, safety and oversight, utility, fairness, and justice. She mentioned that the white paper on these topics is still in its initial phase and requested feedback from the audience to further discuss and refine it.
Professor Brian, who was previously scheduled to speak but has been replaced by Professor Fabian Bourget, acknowledged Professor Alif's expertise in AI ethics and psychiatry. He introduced Professor Bourget as the speaker for the Coara topic.
Professor Fabian Bourget, representing COARA (the Coalition for Advancing Research Assessment), explained that COARA is a European initiative that has expanded internationally. It focuses on coordinating national actions and sharing best practices in the assessment of research, particularly with a focus on data ethics. He mentioned that while COARA's working groups do not currently address data ethics directly, there is a connection with the DRDA (Data Research Data Assessment) and suggested that COARA could incorporate data ethics into its work plan.
Professor Brian thanked Professor Bourget for his presentation and introduced the last part of the discussion, which focused on future directions. He invited Professor Sabina to facilitate this section and asked if anyone wanted to raise specific points or discuss the webinar scheduled for April 23rd with Quora, ERIP, RDA, and Codata around research governance ethics. Professor Sabina encouraged the audience to open up for discussion and mentioned the educational initiatives EDI (European Data Initiative) is undertaking.
Professor Brian mentioned that there will be summaries of updates and presentations from the previous meeting available online, along with prototypes for challenge-based learning. He encouraged participants to engage with EDI's initiatives and become affiliates for updates and feedback. He also suggested creating a page where EDI can share materials and thoughts from the audience to improve communication channels.
Professor Brian then invited Professor Bruno, who is involved in research assessment and AI, to share his thoughts. Professor Bruno praised the European colleagues for their work and offered to contribute anything he could.
Professor Jennifer Miller, from Future of Research, Communication and E-Scholarship, expressed her interest in the topics discussed. Professor Ludmilla, who is involved with young researchers and data sharing, mentioned that she would explore the concept of data visitation further and share her insights. Professor Ismael from Nova Scotia also expressed his interest in the topics discussed.
Professor Brian thanked everyone for their participation and invited Professor Millicent, who has been helping with the Kuala Lumpur Working Group, to say hello.
The participants of the meeting discussed various topics related to data ethics, sharing, and privacy in an open setting. Francis expressed that having such conversations in public spaces is crucial for raising awareness about these important issues. Millicent, who was joining from Nairobi, expressed her happiness to be part of the group and hoped for a productive session. Ramola, representing Carleton University in Canada but originally from South Africa, joined the discussion and paid tribute to Professor Fraser Taylor. She also conveyed greetings from Peter Pulsifer. Melissa thanked everyone for their participation and mentioned the upcoming discussion series on data ethics and AI, scheduled for April 23rd. She also invited everyone to join their affiliates' network. The meeting concluded with a round of thanks and appreciation for all participants, the EDI team, speakers, and organizers. Melissa also mentioned that everyone would receive an email with relevant materials, including presentations and the recording of the chat. The meeting highlighted the importance of collaboration in filling gaps in knowledge and ideas about data ethics and sharing, with both online and offline participants contributing effectively.
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