BioSecure: white paper for research in biometrics beyond BioSecure

This report is the output of a consultation process of various major stakeholders in the biometric community to identify the future biometrical research issues, an activity which employed not only researchers but representatives from the entire biometrical community, consisting of governments, industry, citizens and academia. It is one of the main efforts of the BioSecure Network of Excellence to define the agenda for future biometrical research, including systems and applications scenarios

AI Now Institute 2023 Landscape: Confronting Tech Power

This report highlights a set of approaches that, in concert, will collectively enable us to confront tech power. Some of these are bold policy reforms that underscore the need for bright-line rules and structural curbs. Others identify popular policy responses that, because they fail to meaningfully address power discrepancies, should be abandoned. Several aren't in the traditional domain of policy at all, but acknowledge the importance of nonregulatory interventions such as collective action, worker organizing, and the role public policy can play in bolstering these efforts. We intend this report to provide strategic guidance to inform the work ahead of us, taking a bird's eye view of the many levers we can use to shape the future trajectory of AI – and the tech industry behind it – to ensure that it is the public, not industry, that this technology serves

Regulatory Model for AAL

Proceedings of: 6th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2011). Salamanca, April 6-8, 2011Abstract: In this work, authors define a set of principles that should be contained in context-aware applications (including biometric sensors) to accomplish the legal aspect in Europe and USA. Paper presents the necessity to consider legal aspect, related with pri-vacy or human rights, into the development of the incipient context based services. Clearly, context based services and Ambient Intelligence (and the most promising work area in Europe that is Ambient Assisted Living, ALL) needs a great effort in research new identification procedures.Publicad

THE ETHICAL USE OF FACIAL RECOGNITION TECHNOLOGY: A CASE STUDY OF U.S. CUSTOMS AND BORDER PROTECTION

After the events of 9/11, facial recognition technology (FRT) emerged as a security solution for identifying and verifying individuals in a homeland security setting. Although FRT demonstrates security benefits, the public has not widely accepted the government’s use of the technology. FRT critics raise ethical and societal concerns regarding the negative impact of the technology on the public, including privacy concerns, constitutional rights violations, biased and inaccurate technology, and data management. How can FRT be implemented in a way that is both efficient and ethical? This thesis analyzes FRT through a three-pronged approach. First, the thesis applies the “How to Do It Right” ethical framework to a government agency’s decision-making process. The second step identifies ethical operating principles through a crosswalk of the varied and often inconsistent operating principles published by the security industry, government audit agencies, and watchdog groups. Finally, the thesis utilizes a real-world case study to explore an operational FRT program and illustrate best practices. It recommends that following an ethical framework during decision-making and incorporating ethical principles and best practices into FRT programs during development and implementation mitigates the public’s ethical and societal concerns.Civilian, Department of Homeland SecurityApproved for public release. Distribution is unlimited