AI, big data, and the future of consent

Andreotta, Adam J.; Kirkham, Nin; Rizzi, Marco

doi:10.1007/s00146-021-01262-5

Cited by 43 publications

(39 citation statements)

References 41 publications

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“…Of course, such an approach is not devoid of implementation challenges. More generally, nonetheless, the development of informed consent with respect to big data use is highly debated and other proposals are indeed discussed (see Andreotta et al, 2021).…”

Section: Data Protection and Privacymentioning

confidence: 99%

The Algorithmic Public Opinion: a Policy Overview

Reviglio¹

2022

Preprint

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The algocount project seeks to contribute to concerns on the political and policy implications of the rise of algorithms. The diffusion of an “algorithmic public opinion” specifically regards the concern that algorithmic systems disrupt previous patterns of individual and public opinion formation. Few analyses explored this phenomenon throughout a multidisciplinary comprehensive policy lens. The algocount project seeks to address this gap by discussing innovative policy approaches and proposals to the challenges of the current algorithmic public opinion. Firstly, I introduce the main algorithms, concerns and actors involved in the algorithmic public opinion. Then, I discuss the main policy approaches to the systemic challenges of the most relevant algorithmic systems: recommender systems, disinformation, political microtargeting, content moderation and social bots. The goal of this report is to provide a critical, comprehensive and longterm oriented policy overview of the algorithmic public opinion.

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Section: Data Protection and Privacymentioning

confidence: 99%

The Algorithmic Public Opinion: a Policy Overview

Reviglio¹

2022

Preprint

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“…This is particularly concerning in the face of complex processes of data aggregation done by data brokers. 22 Children may disclose discrete pieces of information believing them to be less revealing than what they actually are. They may moreover be more focused on active disclosure and not take account of the data exhaust or traces left by their online activities.…”

Section: Children's and Teens' Capacities To Understand Surveillance ...mentioning

confidence: 99%

Children’s Privacy and Video Games: Comments on Commercial Surveillance ANPR, R111004

Beauvais¹,

Grimes²,

Giddings³

2022

Preprint

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These comments were prepared in response to the US Federal Trade Commission's advance notice of proposed rulemaking on commercial surveillance and data security (ANPR R111004). In these comments, we examine privacy and surveillance issues in children's media with a focus on video games. We argue in favour of context-sensitive rules for game design and a robust approach to children's privacy that takes into consideration their agency and best interests on a case-by-case basis. Amongst other things, we highlight the importance of the purportedly innocuous nature of play in determining whether a practice is unfair or deceptive and the market realities of smaller game developers who find themselves relying on third-party application libraries from larger companies. We also advocate for protecting children's privacy irrespective of parental consent and adopting a proportionate, risk-based approach to privacy rules, including age-assurance systems.

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“…The contemporary debate surrounding AI is dominated by the analysis of risks and human rights impacts of algorithmic systems (such as the violation of privacy, problems of discrimination or lack of transparency) (Council of Europe, 2020;European Commission, 2019). The literature on the risks inherent to biases and the implications of AI for individual consent is growing alongside awareness of the complexity of the challenges posed by the technology for protection of individual rights (Andreotta et al, 2021). In this paper, we take a complementary approach.…”

Section: Introductionmentioning

confidence: 99%

Predictive analytics and governance: a new sociotechnical imaginary for uncertain futures

Lazaro

Rizzi²

2022

International Journal of Law in Context

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In an era of global sanitary, economic and ecological crisis, beliefs in the predictive power of artificial intelligence (AI) progressively penetrate the legal and political spheres, in search of new ways to anticipate and govern the future. In this context, it is critical to understand the idiosyncratic nature of the interplay between governance and algorithmic logics of prediction. This contribution discusses how the association between governance and AI makes the future knowable in the present and shapes a programmatic way of formalising, justifying and deploying action in the here and now. We focus on three principles of institutional mobilisation in the face of uncertainty and indeterminacy: precaution, pre-emption and preparedness, each of which is affected by the use of AI relying on so-called ‘real-time predictions’. Drawing from risk theory and Science and Technology Studies, we argue that the current convergence between AI and governance is shaping a new sociotechnical imaginary, promoting a distinctive conception of life and of the future in the age of the Anthropocene.

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AI, big data, and the future of consent

Cited by 43 publications

References 41 publications

The Algorithmic Public Opinion: a Policy Overview

The Algorithmic Public Opinion: a Policy Overview

Children’s Privacy and Video Games: Comments on Commercial Surveillance ANPR, R111004

Predictive analytics and governance: a new sociotechnical imaginary for uncertain futures

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