| APrIGF 2023 Session Proposal Submission Form | |||||||||||||||||
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| Part 1 - Lead Organizer | |||||||||||||||||
| Contact Person | |||||||||||||||||
| Mr. Ryan Payne | |||||||||||||||||
| Organization / Affiliation (Please state "Individual" if appropriate) * | |||||||||||||||||
| Internet Society | |||||||||||||||||
| Designation | |||||||||||||||||
| Student | |||||||||||||||||
| Gender | |||||||||||||||||
| Male | |||||||||||||||||
| Economy of Residence | |||||||||||||||||
| Australia | |||||||||||||||||
| Primary Stakeholder Group | |||||||||||||||||
| Academia | |||||||||||||||||
| List Your Organizing Partners (if any) | |||||||||||||||||
| Queensland University of Technology | |||||||||||||||||
| Part 2 - Session Proposal | |||||||||||||||||
| Session Title | |||||||||||||||||
| Policy development on generative AI based on Biometrics & Weaponizing Information Bubbles | |||||||||||||||||
| Session Format | |||||||||||||||||
| Panel Discussion | |||||||||||||||||
| Where do you plan to organize your session? | |||||||||||||||||
| Online only (with onsite facilitator who will help with questions or comments from the floor) | |||||||||||||||||
| Specific Issues for Discussion | |||||||||||||||||
| Biometric technology has become increasingly prevalent in our daily lives, from unlocking our smartphones to passing through airport security. However, this technology also raises significant concerns about privacy and security. Biometric data, such as facial recognition scans and fingerprint records, are unique identifiers that can be used to track and monitor individuals. The collection and use of this data without proper safeguards can lead to violations of personal privacy, and in some cases, even be used to discriminate against certain groups of people. As biometric technology continues to advance, it is essential that policymakers and industry leaders work together to ensure that this technology is used ethically and with adequate protections for individual privacy. This panel looks to discuss the creation of policies around the collection and usage of biometric data. The panel will cover 4 different types (Facial recognition technology, DNA Data, Voice Recognition and Wearable Devices) and conclude with looking at governance principles which policy developers should consider. This panel aims to source interested parties, and draft guidelines for government policy adoption. Topics in more detail: Facial recognition technology: The use of facial recognition technology in public spaces, such as airports or sporting events, has raised concerns about privacy and the potential for government surveillance. DNA Data: forensic investigations and medical research and the potential unauthorized sharing of sensitive personal information compared with open access data to improve global patient outcomes. Voice recognition technology: used in a range of applications, from personal assistants to financial transactions. Wearable devices: fitness trackers and smartwatches can violate workplace privacy and potential discrimination against employees who do not use such device. |
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| Describe the Relevance of Your Session to APrIGF | |||||||||||||||||
| The rise of online activity and the increasing amount of personal information shared online has brought new challenges to the issue of privacy. Online privacy concerns include everything from the collection and use of personal data by online platforms to the risks of cyber-attacks and online harassment. With the proliferation of internet-connected devices, the amount of data being generated and transmitted online is only growing, making it essential that individuals, businesses, and governments prioritize privacy protections. As online activity becomes more ingrained in our daily lives, the need for comprehensive and effective privacy policies has never been more pressing. The internet governance forum provides a platform to discuss these issues and explore potential solutions that balance the benefits of online activity with the protection of personal privacy. Of particular focus within policy creation is the term Individuals' Collective Privacy Individuals’ Collective Privacy is the concept that, by giving information while not invasive or particularly important to one person, when grouped with a large amount of other’s individual data, collectively it can be compiled together to form an understanding of all the individuals whose information was collected, as well as used in a projective manner upon future individuals. Thus, while an individual may not consent to their information being tracked and therefore hold onto their personal identifiable information (PII); the individual’s personal privacy is still invaded as this individual is classified or treated as part of a predetermined group/behavioural set, crafted from others’ personal information being collected, without either individual personally being identified. This session aims to garner attention to source potential stakeholders to draft guidelines for government policy adoption. |
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| Methodology / Agenda (Please add rows by clicking "+" on the right) | |||||||||||||||||
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| Moderators & Speakers Info (Please complete where possible) | |||||||||||||||||
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| Please explain the rationale for choosing each of the above contributors to the session. | |||||||||||||||||
| "Just because you don't take an interest in AI, doesn't mean AI won't take an interest in you" - Pericles Dr. Ryan Payne is a biometric survelliance capitalism researcher, building on his background running retail businesses internationally, Ryan's work is emerging as a prototype for how larger retailers are considering intetgrating biometric survelliance into their platforms and storefronts. Ryan in 2023 is noted as one of thee most influential people in generative AI for his work on biometric tracking, holding fellowships in 2023 with the United Nations, Internet Society, APrIGF, and Queensland Univeristy of Technology (QUT). Katie Buchhorn is a TEDX speaker on women in technology, while Helen Bocking is an avid online streaming artist; Shivangi Malhotra is a technology policy professional from India focusing on privacy and data protection; Lawyer Cameron Niven is a lawyer navigating the privacy laws and those impacted by the collection of biometrics; and, Catherine Easdon, is a computer software engineer looking at privacy by design, drafting online courses on the matter and providing input for policy development into how those with limited resources navigate between using what is available (and potentially sourced inappropriately or with bias) and what is known to be ethical but might be costly to procure. Further, the panel looked to find emerging leaders, those who are noted in their field for making a difference. The idea being to use each panel member's established audiences to connect and reach a larger group of people than might be solicited with more traditional speakers. Therefore, a careful selection amongst different industries, geographical areas as well as age ranges was selected. Further, each speaker is noted for being a young career advocate. |
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| Please declare if you have any potential conflict of interest with the Program Committee 2023. | |||||||||||||||||
| No | |||||||||||||||||
| Are you or other session contributors planning to apply for the APrIGF Fellowship Program 2023? | |||||||||||||||||
| Yes | |||||||||||||||||
| Number of Attendees (Please fill in numbers) | |||||||||||||||||
| Gender Balance in Moderators/Speakers (Please fill in numbers) | |||||||||||||||||
| Consent | |||||||||||||||||
 I agree that my data can be submitted to forms.for.asia and processed by APrIGF organizers for the program selection of APrIGF 2023. |
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