Search Results for author: Max Van Kleek

Found 6 papers, 2 papers with code

I Want My App That Way: Reclaiming Sovereignty Over Personal Devices

1 code implementation23 Feb 2021 Konrad Kollnig, Siddhartha Datta, Max Van Kleek

Dark patterns in mobile apps take advantage of cognitive biases of end-users and can have detrimental effects on people's lives.

Human-Computer Interaction

Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation

no code implementations20 Jan 2021 Nitin Agrawal, Reuben Binns, Max Van Kleek, Kim Laine, Nigel Shadbolt

Homomorphic encryption, secure multi-party computation, and differential privacy are part of an emerging class of Privacy Enhancing Technologies which share a common promise: to preserve privacy whilst also obtaining the benefits of computational analysis.

Human-Computer Interaction

Design of a dynamic and self adapting system, supported with artificial intelligence, machine learning and real time intelligence for predictive cyber risk analytics in extreme environments, cyber risk in the colonisation of Mars

no code implementations19 May 2020 Petar Radanliev, David De Roure, Kevin Page, Max Van Kleek, Omar Santos, La Treall Maddox, Pete Burnap, Eirini Anthi, Carsten Maple

This paper surveys deep learning algorithms, IoT cyber security and risk models, and established mathematical formulas to identify the best approach for developing a dynamic and self adapting system for predictive cyber risk analytics supported with Artificial Intelligence and Machine Learning and real time intelligence in edge computing.

Anomaly Detection BIG-bench Machine Learning +1

Some HCI Priorities for GDPR-Compliant Machine Learning

no code implementations16 Mar 2018 Michael Veale, Reuben Binns, Max Van Kleek

In this short paper, we consider the roles of HCI in enabling the better governance of consequential machine learning systems using the rights and obligations laid out in the recent 2016 EU General Data Protection Regulation (GDPR)---a law which involves heavy interaction with people and systems.

BIG-bench Machine Learning Fairness

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

no code implementations3 Feb 2018 Michael Veale, Max Van Kleek, Reuben Binns

Calls for heightened consideration of fairness and accountability in algorithmically-informed public decisions---like taxation, justice, and child protection---are now commonplace.

BIG-bench Machine Learning Decision Making +1

Like trainer, like bot? Inheritance of bias in algorithmic content moderation

1 code implementation5 Jul 2017 Reuben Binns, Michael Veale, Max Van Kleek, Nigel Shadbolt

This paper provides some exploratory methods by which the normative biases of algorithmic content moderation systems can be measured, by way of a case study using an existing dataset of comments labelled for offence.


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