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  2. KT4D Toolkit
  3. Bibliography of KT4D Social Risk Toolkit Module A: AI, free will and autonomy

Bibliography of KT4D Social Risk Toolkit Module A: AI, free will and autonomy

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Effect of Technology:
Agency
Autonomy
Bias
Disinformation & Misinformation
Epistemic effect
Individuals
Polarisation
Democratic values:
Accountability
Pluralism
Trust
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AI and Awareness AI and Culture Algorithmic Accountability Critical Digital Citizenship Ethics and Trust in AI Freedom and Manipulation Inclusive Digital Democracy Personal Data and User Profiling

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Policy Brief - Culture's Role in Navigating Technological Change

The policy brief published by KT4D suggests that examining culture allows for a deeper understanding of societal responses to AI development.

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Individual Aspects of the AI challenges

The aim of the first three modules of KT4D’s Social Risk Toolkit thus focuses on the individual aspects of this challenge and is multifaceted.

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What are Knowledge Technologies?

Knowledge technologies, as distinct from information technologies, have been defined in the Module C of the social risk toolkit.

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The value of democracy

There are both instrumental and intrinsic reasons to value democracy. In short, democracy is valuable instrumentally because 

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Risks for the use of personal data and user profiling

2.1    Equality

Equality is by-and-large considered both a positive aspect of democracy, and a necessary feature for democracy.

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How should tech be regulated?

Companies have significant influence over public discourse in online platforms, necessitating that the algorithms that shape these online platforms should be regulated and constrained to sufficiently consider the public interest (Susskind, 2018: 350).

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Legal and regulatory frameworks related to personal data and user profiling

The purpose of this document is to provide an overview of how AI, big data and frontier technologies impact rights from the data protection perspective.

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What is freedom?

When we think of freedom or ‘liberty’ we typically think of it in certain ways: e.g., freedom to act as we please, freedom from harm or interference, freedom of thought, or freedom to be a member of a community (Susskind, 2018: 165).

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KT4D: AI, free will and autonomy - Introduction & Literature review

The source, which comprises excerpts from Module A of the KT4D Social Risk Toolkit, explores the complex challenge presented by artificial intelligence to individual autonomy and free will within modern society.

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Experiments on critical thinking, autonomy and AI

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Risks to individual freedoms of speech and action

Since our liberal democracies generally employ forms of representativeness to their institutions, the impact of AI on free and fair elections is also one of the key ways in which technology affects our polities.

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The impact of social networks and misinformation on citizens’ opinions and attitudes

This document adopts a psychological and cognitive perspective on misinformation and disinformation, focusing on the interaction between cognitive biases, emotional motivations, social communication goals, and contemporary information environments

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Individuals' autonomy in their 
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This document examines autonomy as a form of agentive control grounded in attention regulation, goal-directed action, and reflexivity.

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Bibliography of KT4D Social Risk Toolkit Module B: AI, trust and awareness

Module B focuses on the risks AI poses for social fairness and trust: how the use of AI-based tools can generate inequality or dishonesty, particularly when human productions differ in nature (e.g. creative vs.

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Consequences of AI-based technologies for the quality of public deliberation

This document examines how AI-driven content curation and recommendation systems affect the quality of public deliberation.

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When Efficiency Gets in the Way of Democracy

Sub-chapter of DDL Handbook on the tension between efficiency paradigm and democracy

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What Makes a Democratic Process Work? Distinguishing Efficiency from Efficacy

Describes the difference between efficiency and democratic effectiveness

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Democracy-in-the-Loop: A New Logic for Digital Participation (Recipe 1 of 5 from the Digital Democracy Lab Handbook)

Recipe series. 1st describing DITL

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When You’re Asked to Use AI: Navigating the Invitation (Recipe 2 of 5 from the Digital Democracy Lab Handbook)

On navigating a request to use AI in a deliberative setting

Effect of Technology: Agency, Bias, Democracy, Legitimacy
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Designing AI for Democracy, Not Just for Functionality (Recipe 3 of 5 from the Digital Democracy Lab Handbook)

Designing tech with friction

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Democratic values: Accountability, Deliberation, Transparency, Trust
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Designing the Whole Process: Embedding AI Without Undermining Democracy (Recipe from the Digital Democracy Lab Handbook)

This recipe is about designing an entire democratic process—not just the AI tool within it. When AI is introduced into a deliberative setting, the surrounding process needs to change too: not just to make the AI work, but to make sure the democracy works.

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Facilitating with AI in the Room (Recipe from the Digital Democracy Lab Handbook)

Being a facilitator in a deliberative process using AI

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Module C: Historical perspective – Methodology

We adopt a systematic approach to map the entanglement between past and present knowledge technologies and culture. Unlike many contemporary discussions that focus on specific issues or technological applications (such as deepfakes or photo manipulation), we map the entirety of past and present knowledge technologies to identify trends, general divergences, and similarities.

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Module C: Historical perspective – Free Will and Autonomy

This section considers how people’s autonomy and free will are hindered or supported by past and present KTs. By focusing on the structural level, we will examine systemic issues such as monopolies over KTs, data extraction and colonialism, labour, and political participation.

Effect of Technology: Agency, Autonomy, Concentration of Power, Culture, Individuals
Democratic values: Accountability, Participation, Pluralism
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Module C: Historical perspective – Attention

This section analyses how different knowledge technologies impact people’s attention and, consequently, their decisions regarding which information is worth storing and remembering, and which is instead forgotten or not even registered in the first place.

Effect of Technology: Bias, Culture, Epistemic effect, Individuals, Legitimacy, Polarisation
Democratic values: Deliberation, Transparency
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Module C: Historical perspective – Trust

This section examines how people develop trust – or distrust – in knowledge technologies. This section considers three main aspects.

Effect of Technology: Disinformation & Misinformation, Inclusion/Exclusion, Individuals, Legitimacy
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Module C: Historical perspective – Creativity

This section analyses how different knowledge technologies impact people’s creativity. Here creativity is intended as the ability to express themselves in a way that is both truthful to what they feel and believe, as well as the power to experiment with artistic creation.

Effect of Technology: Agency, Culture, Epistemic effect, Individuals
Democratic values: Participation, Pluralism
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Module C: Historical perspective – Introduction, literature review, and rationale

Module C of the Toolkit has two primary objectives: First, to understand AI and big data within the context of a long history of interactions between technological affordances and cultural norms, values, and practices. This recognises that knowledge technologies—such as written language, the printing press, television, radio, etc.—have shaped culture and knowledge production. The relationship between technology and culture is fundamentally mutual and reciprocal. Second, building upon the first objective, Module C focuses on the particular definition of AI and big data as advanced knowledge technologies (AKTs). We analyse the past in this module to better understand the present and—potentially—to anticipate what may lie ahead.

Effect of Technology: Culture, Democracy, Individuals, Society
Format: External link, PDFs
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Deepfake Explainer

This interactive explainer introduces the concept of AI-generated deepfake images and provides clues to help the user understand how and why they are created.

Effect of Technology: Agency, Autonomy, Bias, Culture, Disinformation & Misinformation, Epistemic effect, Inclusion/Exclusion, Individuals, Law, Legitimacy, Opacity, Polarisation, Privacy, Society
Democratic values: Accountability, Pluralism, Rule of Law, Trust
Format: External link
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Recommendation Algorithms Explainer

The Recommendation Algorithms explainer aims to demonstrate how algorithms work on social media platforms. It allows the users to simulate their experience on a social media platform, where their choices shape a personalised feed.

Effect of Technology: Autonomy, Bias, Concentration of Power, Culture, Epistemic effect, Inclusion/Exclusion, Individuals, Legitimacy, Opacity, Polarisation, Society, Surveillance
Democratic values: Accountability, Fairness, Pluralism, Transparency, Trust
Format: External link
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Serious Game - Empower Your Digital Decisions

This section presents the KT4D serious game, an interactive tool to engage players with ethical dilemmas surrounding advanced knowledge technologies.

Effect of Technology: Agency, Bias, Concentration of Power, Culture, Democracy, Disinformation & Misinformation, Inclusion/Exclusion, Legitimacy, Polarisation
Democratic values: Accountability, Fairness, Participation, Pluralism, Trust
Format: External link
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Interactive Digital Narrative

Gamified tool designed to address the social and cultural implications of AI development.

Effect of Technology: Bias, Culture, Disinformation & Misinformation, Epistemic effect, Inclusion/Exclusion, Polarisation, Society
Democratic values: Fairness, Pluralism, Trust
Format: External link
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Framework for Democratic AI Governance: Roadmap and recommendations for European policymakers

This policy brief focuses on short-term action (2026-2028) around AI governance and provides practical guidelines for experts and policymakers. It introduces a framework that embeds democratic pillars — participation, freedom, equality, transparency, knowledge, and the rule of law — directly into the entire AI lifecycle.

Effect of Technology: Bias, Democracy, Disinformation & Misinformation, Epistemic effect, Inclusion/Exclusion, Law, Legitimacy, Opacity, Polarisation, Surveillance
Democratic values: Equality, Fairness, Participation, Rule of Law, Transparency, Trust
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