Relational consent: Redesigning the solution space for consent and disclosure

One of the grand challenges of the digital society is safeguarding data disclosure. Despite protective regulations, most end-users are unable to manage their individual consent properly due to the overwhelming complexity of disclosure interactions. Design research could help resolve these issues, but doing so requires a shift from siloed research perspectives and detailed recommendations on the design of consent notices toward consent models and relational design. In this article we deconstruct the solution space of consent and disclosure interactions by conducting a critical review on the literature at the intersection of ethics and society, policy management and legislation, and design and computer sciences. We synthesize existing models of consent (i.e., moral consent, protective consent, and human-centered consent) and deconstruct two critical barriers (i.e., regulatory noncompliance and consent malpractices) that need to be resolved to successfully redesign current consent practices and disclosure interactions. For undertaking new efforts of redesigning consent, we formulate a novel approach we term relational consent, along with accompanying design principles and guidance on how to redesign consent practices and disclosure interactions.

Authors

Institutions

Publication Details

Journal
The Information Society
Published
2026-08-27
DOI
https://doi.org/10.1080/01972243.2026.2713455
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relational consent: Redesigning the solution space for consent and disclosure

Lianne Simonse, Aniek R. Kempeneers
The Information Society
Ethics and Social Impacts of AI
article

Relational consent: Redesigning the solution space for consent and disclosure

Lianne Simonse, Aniek R. Kempeneers
article en

Abstract

One of the grand challenges of the digital society is safeguarding data disclosure. Despite protective regulations, most end-users are unable to manage their individual consent properly due to the overwhelming complexity of disclosure interactions. Design research could help resolve these issues, but doing so requires a shift from siloed research perspectives and detailed recommendations on the design of consent notices toward consent models and relational design. In this article we deconstruct the solution space of consent and disclosure interactions by conducting a critical review on the literature at the intersection of ethics and society, policy management and legislation, and design and computer sciences. We synthesize existing models of consent (i.e., moral consent, protective consent, and human-centered consent) and deconstruct two critical barriers (i.e., regulatory noncompliance and consent malpractices) that need to be resolved to successfully redesign current consent practices and disclosure interactions. For undertaking new efforts of redesigning consent, we formulate a novel approach we term relational consent, along with accompanying design principles and guidance on how to redesign consent practices and disclosure interactions.

The Information Society
Groden Network (US), Delft University of Technology (NL)
Technische Universiteit Delft
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.