Introduction to Digital Humanism

Introduction to Digital Humanism asks how digital technologies can be shaped around human agency, rights and collective wellbeing. Edited by Hannes Werthner and colleagues, the 2024 textbook connects philosophical foundations with software design, AI, platforms, work and democratic governance. This guide covers all 39 chapters with explanations, critical questions and practical study tasks.

How to use this book

Read across disciplines rather than expecting one technical solution to every concern. For each chapter, identify the central claim, the values involved, the evidence offered and the actors able to make changes. Use the textbook's questions and annotated reading lists to extend the discussion. Separate a chapter's argument from your own evaluation, and remember that legal and policy references describe the period in which the chapter was prepared.

Chapter-wise explanations and study tasks

Part I: Background

Chapter 1: Humanism and Enlightenment

The opening chapter connects digital humanism with traditions of human rights, dignity and rational inquiry. It questions descriptions that treat software as if it possessed human mental states or moral responsibility. Such language can conceal the choices of people and institutions behind a system. Read the historical argument as a foundation for evaluating present technology: human agency should remain a criterion for design and governance, rather than being displaced by the apparent authority of a machine.

Study task: Rewrite an anthropomorphic claim about an AI system so that the responsible human actors and actual technical behavior are visible.

Chapter 2: Philosophical Foundations of Digital Humanism

Digital humanism rejects both the reduction of people to machines and the uncritical attribution of personhood to machines. The chapter distinguishes computational performance from the capacities and responsibilities associated with human action. Its practical implication is that ethical accountability should not simply be delegated to an AI system. Separate what a system can do from claims about what it understands or deserves. A clear philosophical distinction helps expose decisions that technical descriptions alone may leave unexplained.

Study task: Explain why a system's ability to produce an ethical-sounding answer does not settle who is responsible for acting on it.

Chapter 3: Evolution of Computing

The history of computing provides context for the scale and pace of digital change. Hardware and software developments have altered how information is produced, communicated and used, but this history should not be interpreted as an inevitable path with predetermined social consequences. Connect technical possibilities with the institutions and practices that adopted them. The chapter encourages readers to understand current systems as products of accumulated choices, making alternatives and responsibilities easier to discuss.

Study task: Choose a computing development and explain one new capability it enabled and one social choice that shaped its use.

Chapter 4: The Digital Revolution in a Historical Perspective

The chapter places digital transformation alongside earlier episodes in which technological change interacted with political and social upheaval. Historical comparison helps question claims that technology alone drives events. Ask which institutions, interests and conflicts shaped the adoption of a new medium or infrastructure. Similarities across periods can be illuminating without making their outcomes identical. Use the comparison to identify mechanisms and choices rather than to announce that one historical episode mechanically predicts another.

Study task: Compare digital communication with an earlier communication technology. Identify a useful parallel and an important limit to the analogy.

Chapter 5: The Social Responsibilities of Scientists and Technologists in the Digital Age

Scientific and technical work has consequences that extend beyond the immediate research problem. This chapter examines responsibilities that cannot be addressed solely through individual good intentions or narrow professional compliance. Identify who benefits from a system, who may be affected and which institutions can respond to concerns. Responsibility spans problem selection, design, deployment and continued operation. A technically successful project can still require ethical scrutiny when its purpose or distribution of consequences is contested.

Study task: List responsibilities at three stages of a digital project and name the actors able to discharge each one.

Chapter 6: Digital Transformation Through the Lens of Intersectional Gender Research Challenges and Needs for Action

Intersectional analysis examines how gender interacts with other social positions rather than assuming a single universal user experience. The chapter asks how digital transformation can reproduce exclusion and where action is needed. Representation involves who shapes a system as well as who appears in its data. Compare the effects on differently situated groups and avoid treating participation as satisfied by counting one demographic category. A meaningful response connects analysis with changes in design, institutions and access.

Study task: Describe two users affected differently by the same service. Explain how interacting social circumstances could make a single demographic comparison insufficient.

Chapter 7: No Digital Citizens Without Digital Humanism

The chapter links informatics education with the ability to participate thoughtfully in digital society. Understanding technology requires both technical concepts and attention to social consequences, starting in school and supported by prepared teachers. A digital citizen should be able to question how systems work and whose interests they serve, rather than merely operate an application. Education should develop informed judgement about automation, data and agency while giving learners a concrete understanding of computation.

Study task: Design a classroom activity that combines a simple computing concept with a question about its social consequences.

Chapter 8: Digital Transformation, Digital Humanism: What Needs to Be Done

This chapter presents digital humanism as an agenda for shaping transformation, not merely describing its effects. Technical development interacts with institutions, incentives and human choices, so action must occur across several levels. Connect broad principles with practical responsibilities in education, research, design and governance. When proposing an intervention, identify who can implement it and how its effect would be judged. A statement of values becomes useful when it can guide a decision under real constraints.

Study task: Turn one digital-humanist principle into a concrete action with a responsible institution and a proposed success criterion.

Part II: Digital Humanism — A System's View

Chapter 9: A Short Introduction to Artificial Intelligence: Methods, Success Stories, and Current Limitations

The AI overview distinguishes symbolic approaches, including logic and search, from learning methods that infer patterns or policies from data. Supervised, unsupervised and reinforcement learning address different kinds of problems. Successful demonstrations establish capabilities within particular conditions, not a general guarantee of reliable understanding. Compare the representation, objective and evidence used by each method. This technical grounding helps readers evaluate social claims about AI without confusing every algorithm with the same kind of intelligence.

Study task: Compare a logic-based solution with a learned model for an illustrative task. State the inputs and one limitation of each approach.

Chapter 10: Trustworthy Artificial Intelligence: Comprehensible, Transparent and Correctable

Trustworthy systems should support people's ability to understand behavior and challenge or correct inappropriate outcomes. An explanation must fit its audience and decision context rather than simply expose technical detail. Transparency alone is insufficient if a person cannot act on the information received. Connect system design with procedures for correction and accountability. Assess whose understanding is needed and which forms of evidence would justify trust, avoiding the assumption that confidence in a fluent output is the same as warranted trust.

Study task: Specify what a user would need to understand and contest an automated recommendation affecting them.

Chapter 11: Are We in Control?

The chapter questions the assumption that technological development is entirely directed through deliberate top-down decisions. Evolutionary processes, interactions and unintended consequences can limit the control any one participant possesses. This does not remove responsibility; it changes the kind of oversight and adaptation required. Distinguish control of one component from control of the larger sociotechnical system. A useful governance proposal should account for feedback and uncertainty instead of assuming that an initial design decision settles every later consequence.

Study task: Identify a digital system whose overall behavior emerges from many actors. Explain the limits of one organization's control and a possible oversight response.

Chapter 12: AI @ Work: Human Empowerment or Disempowerment?

AI can support work by supplying information and automating tasks, but it can also redistribute discretion and power. The same tool may help one worker while increasing surveillance or reducing autonomy for another. Evaluate changes to task content, decision authority and the ability to question recommendations. An efficiency measure does not fully describe the experience of work. The chapter encourages attention to how systems are introduced and governed, including the participation of the people whose work is transformed.

Study task: Compare an empowering and a disempowering deployment of the same workplace AI tool. Identify the design or organizational difference.

Chapter 13: The Re-enchanted Universe of AI: The Place for Human Agency

This chapter examines the appeal of attributing extraordinary authority or seemingly human capacities to artificial systems. Such interpretations can obscure the extent to which people transfer judgement to machines. Human agency requires considering why a recommendation is accepted and whether alternatives remain accessible. Separate the predictive or generative function of a system from the meaning users attach to its output. The discussion invites critical reflection on cultural narratives as well as technical operation.

Study task: Analyze a claim that presents AI as an unquestionable authority. Identify what choice or responsibility the claim makes less visible.

Chapter 14: Aesthetic Aspects of Digital Humanism: An Aesthetic-Philosophical Analysis of Whether AI Can Create Art

AI-generated works raise questions about artistic creation, reception and the role of human artists. Similarity in appearance does not by itself resolve whether the processes and meanings are equivalent. The chapter develops an aesthetic-philosophical discussion, including a Kantian perspective, rather than treating popularity as a complete definition of art. Distinguish evaluating the resulting object from interpreting intention, authorship and cultural context. Explain which conception of art supports a judgement before drawing a conclusion.

Study task: Compare two ways of evaluating an AI-generated artwork: by audience experience and by the role of authorship. Explain why the conclusions might differ.

Chapter 15: Approaches to Ethical AI

Ethical-AI frameworks identify values that systems and their developers should respect, but moving from principles to decisions remains difficult. Different frameworks can overlap in vocabulary while leaving conflicts unresolved. Ask what a value means in a particular application, who interprets it and how compliance would be assessed. A list of principles should be connected with development practices and institutional accountability. The chapter provides a basis for comparing approaches without assuming that publishing a framework demonstrates ethical performance.

Study task: Select two ethical principles that could conflict in an application. Propose a documented deliberation process instead of treating one slogan as decisive.

Chapter 16: Artificial Intelligence and Large-Scale Threats to Humanity

The chapter considers AI's role in large-scale human-made threats and identifies ethical and political responsibilities for reducing those risks. Distinguish a mechanism through which technology could increase a threat from a claim about the probability of a particular outcome. Evaluation requires both technical understanding and attention to the institutions controlling use. A response should connect prevention, accountability and collective decision-making rather than relying only on the intentions of individual developers.

Study task: Outline one pathway by which an AI application could increase a large-scale risk. Identify a preventive intervention and the actors able to implement it.

Chapter 17: Promises and Perils in Moralizing Technologies

Embedding behavioral guidance into technology can support desirable conduct while also narrowing autonomy or concealing design choices. The chapter examines the moralization of technologies and the difficulty of deciding whose values become part of a system. A built-in constraint is not ethically neutral simply because it is implemented in code. Assess transparency, opportunities for challenge and the legitimacy of the decision process. Distinguish making a harmful action harder from resolving disagreement about what should count as harmful.

Study task: Choose a behavior-shaping feature and explain both its intended benefit and an autonomy concern. Identify who should be able to review its design.

Chapter 18: The Road Less Taken: Pathways to Ethical and Responsible Technologies

Responsible technology requires methods that remain useful throughout a system's development and operation. The chapter connects digital-humanist foundations with tools and practices for maintaining ethical, human-centered sociotechnical systems. Responsibility is a continuing task as contexts and uses change. Ask how concerns are discovered, how decisions are documented and how later evidence can trigger revision. A one-time approval or checklist cannot substitute for an organization able to respond to emerging consequences.

Study task: Design a review process for a deployed service, specifying what evidence would trigger reconsideration and who could require a change.

Chapter 19: Bridging the Digital Divide

The digital divide concerns unequal access and participation, with consequences for communities and development. Effective responses need to fit local conditions and priorities rather than treating connectivity alone as a complete solution. Consider affordability, knowledge, infrastructure and the relevance of services. A technically available system may remain inaccessible in practice. Compare who defines the problem with who experiences it, and include local knowledge when deciding what an intervention should achieve.

Study task: Assess a proposed connectivity project using access, affordability and practical usefulness. Identify a question that should be answered by the intended community.

Chapter 20: Responsible Software Engineering: Requirements and Goals

Requirements engineering makes the goals and limits of a software system explicit. The chapter explains eliciting, articulating and organizing what a system should achieve and what it should avoid. Stakeholder goals can conflict, so a specification should expose assumptions and consequences rather than simply collect requested features. Trace requirements to the people and reasons supporting them, then define evidence for evaluation. Responsibility becomes more concrete when values influence stated goals, constraints and decisions about acceptable behavior.

Study task: Write two stakeholder goals and one prohibited outcome for an illustrative system. Identify a conflict and a question needed to resolve it.

Chapter 21: Governance for Digital Humanism: The Role of Regulation, Standardization, and Certification

Governance connects commitments with demonstrable assurance. Regulation, standards and certification play different roles and should not be treated as interchangeable proof that a system respects people. Ask what norm is being assessed, who performs the assessment and what happens when requirements are not met. A credible assurance process requires evidence appropriate to the context. The chapter links organizational responsibilities with a wider ecosystem in which claims about human dignity and wellbeing can be examined.

Study task: Compare a public commitment with an independently assessed requirement. State what additional assurance the assessment provides and what remains outside its scope.

Chapter 22: Value-Sensitive Software Design: Ethical Deliberation in Agile Development Processes

Ethical reflection can be integrated into iterative development instead of postponed until after implementation. The chapter distinguishes modes of deliberation that expose implications, weigh competing considerations and apply conclusions to a design. Different modes answer different questions, so a team should know whether it is discovering a concern or deciding what to do about it. Document the reasoning and revisit it when requirements or deployment conditions change. The approach applies beyond AI to software more generally.

Study task: Add an ethical-deliberation step to an agile iteration. Describe the concern to uncover, the trade-off to discuss and the design decision to record.

Chapter 23: Humans in the Loop: People at the Heart of Systems Development

People participate as creators, users and partners of digital systems. A sociotechnical perspective examines the relationships among those roles, rather than treating a human presence as automatic oversight. Meaningful participation requires information, competence and the ability to influence outcomes. A person asked only to confirm an opaque result may provide little effective control. Consider the work needed to operate and maintain the system as well as its intended user experience.

Study task: Evaluate a proposed human-approval step. Explain whether the reviewer has enough information, time and authority to change the outcome.

Chapter 24: Resilience: The Key to Planetary and Societal Sustainability

The chapter challenges a narrow focus on efficiency by emphasizing the ability to withstand and recover from disruption. Removing spare capacity or concentrating dependencies can improve normal-operation metrics while making failures more damaging. Assess a digital system over adverse conditions as well as expected workloads. Resilience involves institutions and resource arrangements as well as technical redundancy. A useful evaluation asks which functions must continue, which failures are tolerable and how recovery would occur.

Study task: Describe an efficiency improvement that could reduce resilience. Propose a way to evaluate the trade-off under a plausible disruption.

Chapter 25: How Blockchain Technology Can Help to Arrive at Fair Ecosystems and Platforms

The chapter examines fairness in digital ecosystems and asks how blockchain-based arrangements might support it. Fairness requires attention to relevant distinctions and reasons affecting all participants, rather than an assumption that decentralization automatically produces justice. Separate a technical mechanism for recording or executing rules from the process through which those rules are chosen. Consider access, control and dispute resolution. A platform's institutional design remains important even when some operations are automated.

Study task: Specify a fairness concern in a platform and explain which part a blockchain mechanism could address and which governance question would remain.

Chapter 26: Introduction to Security and Privacy

Security and privacy are connected with self-determination and the position of people within digital systems. Protection concerns not only preventing unauthorized access but also how legitimate processing can affect a person's control over information. Specify the assets, actors and purposes before selecting safeguards. A system can be secure against an outsider while still collecting or using data in an intrusive way. Examine technical measures alongside choices about data collection, retention and authority.

Study task: Describe a service that protects stored data well but still creates a privacy concern. Propose a change to the processing purpose or data collected.

Part III: Critical and Societal Issues of Digital Systems

Chapter 27: Recommender Systems: Techniques, Effects, and Measures Toward Pluralism and Fairness

Recommendation systems reduce information overload while acting as gatekeepers that shape what people encounter. Their objectives and feedback mechanisms influence which items become visible and how users respond. Accuracy or engagement metrics do not alone establish pluralism or fairness. Compare effects on users, creators and other participants, including those whose content is rarely shown. Evaluate alternative objectives and ask what evidence would reveal an unwanted narrowing of exposure.

Study task: Design an evaluation of a news recommender that includes a measure beyond engagement. Explain which affected group the additional measure helps represent.

Chapter 28: Bias and the Web

Bias can arise from missing information as well as explicit distortion. The chapter follows production and consumption of web information, examining data, algorithmic and interaction-related sources. People who contribute content are not necessarily representative of everyone who uses a service, and ranking can influence the behavior later recorded as data. Feedback may amplify initial imbalances. Identify where a bias enters a pipeline before proposing a correction, and make clear which interpretation of fairness informs the intervention.

Study task: Trace a possible feedback loop from biased visibility to biased training data. Identify a point where evidence could be collected to test the mechanism.

Chapter 29: Copyright Enforcement on Social Media Platforms: Implications for Freedom of Expression in the Digital Public Sphere

The chapter examines the tension between enforcing copyright and preserving expression in online public spaces. Automated enforcement decisions can affect lawful participation as well as infringing material, making process and remedies important. Analyze whose interests a rule protects and whose speech it might restrict. The chapter's legal discussion belongs to its publication context; use it to understand the institutional problem rather than as current case-specific advice. A rights-aware process requires more than maximizing removals.

Study task: Outline an appeals process for a disputed content removal. Identify the information needed by the user and the reviewer.

Chapter 30: On Algorithmic Content Moderation

Algorithmic moderation screens user-generated material against categories and rules, but context and interpretation create persistent difficulties. A classifier's error can leave harmful material available or remove legitimate expression. Those errors have different consequences for different groups and settings. Evaluate the classification task, the source of labels and the procedures surrounding automated decisions. Human review and transparency should be examined for their actual function rather than added as symbolic safeguards.

Study task: Compare the consequences of false-positive and false-negative decisions in a moderation example. Propose an appropriate review mechanism.

Chapter 31: Democracy in the Digital Era

Digital systems can support participation while also concentrating influence and weakening democratic practices. The chapter places these concerns within a historical discussion of democracy and examines the role of major platforms. Avoid treating technology as the sole explanation for political change. Evaluate how information flows, economic power and public institutions interact. A constructive proposal should identify how a digital tool strengthens a particular democratic practice and what safeguards limit contrary effects.

Study task: Choose a digital participation tool and specify the democratic practice it should improve. Identify an exclusion or concentration-of-power risk.

Chapter 32: Are Cryptocurrencies and Decentralized Finance Democratic?

The chapter examines Web3 and decentralized finance through their implications for democracy and power. Its discussion of Terra and FTX illustrates the need to distinguish technical arrangements, financial organizations and the distribution of consequences. Decentralization in one layer does not establish equal influence or equal exposure to risk. Assess who controls decisions, who has useful information and who can obtain remedies. Read regulatory references as part of the chapter's historical analysis.

Study task: Compare technical decentralization with democratic accountability. Give an example of a governance question that the technical architecture alone does not answer.

Chapter 33: Platforms: Their Structure, Benefits, and Challenges

Platforms organize interactions among multiple groups rather than operating only as linear production chains. Network effects can create benefits as participation grows while also reinforcing concentration and dependency. Examine the rules governing access, visibility and exchange, since platform design influences how value is created and shared. A benefit to one participant group may impose a cost on another. Distinguish the usefulness of the service from the distribution of power within its ecosystem.

Study task: Map the participant groups of a platform and identify one positive network effect and one dependency that could constrain users.

Chapter 34: Work in a New World

This chapter reviews socioeconomic research on automation, emerging jobs, skills, wage inequality and social protection. The future of work is not captured by one aggregate prediction of job loss or creation. Technologies change tasks and bargaining conditions as well as occupation counts, with uneven effects across workers. Separate evidence about technical feasibility from evidence about adoption and labor-market outcomes. Policy analysis should address who benefits from productivity changes and what support is available during transitions.

Study task: Analyze a job as a set of tasks. Identify which may change through automation and which policy question cannot be answered by counting tasks alone.

Chapter 35: Digital Labor, Platforms, and AI

AI systems depend on human work such as labeling data, cleaning datasets and moderating content. This chapter makes that often-hidden labor visible and examines pay, insecurity, wellbeing and unequal power. The apparent automation of a service can conceal extensive human effort elsewhere. Trace the production chain to identify whose work enables the final output and what protections are available. Corporate responsibility and public policy should be evaluated against the conditions experienced by workers, not only the convenience offered to customers.

Study task: Trace an AI service back to one form of human support work. Identify a labor-condition question and an institution able to address it.

Chapter 36: Sovereignty in the Digital Age

Digital infrastructures cross borders while powerful firms and geopolitical tensions reshape states' capacity to act. The chapter connects sovereignty with strategic autonomy and the practical design of public policy. Dependence on technology can involve more than where a company is registered: control of infrastructure, knowledge and alternatives also matters. Avoid equating autonomy with complete isolation. Evaluate which capabilities a society needs to make legitimate choices and how cooperation might support them.

Study task: Assess a hypothetical dependence on an external digital service. Identify the capability at risk and a response that preserves room for public decision-making.

Chapter 37: The Threat of Surveillance and the Need for Privacy Protections

Data collection across everyday applications can reveal more than users expect, particularly when information is combined. The chapter examines surveillance risks and the need for privacy protections. Consent screens alone do not resolve every imbalance in knowledge or power. Trace what is collected, what can be inferred and who can act on the resulting information. Distinguish a stated purpose from possible secondary uses and consider whether a less intrusive design can provide the required service.

Study task: Map the data collected by a hypothetical application and one inference created by combining it. Propose a data-minimizing alternative.

Chapter 38: Human Rights Alignment: The Challenge Ahead for AI Lawmakers

The chapter connects AI governance with human-rights norms and the challenge of turning broad commitments into effective legal protections. Principles, legal instruments and enforcement arrangements do different work. Identify whose rights are implicated, which actors bear obligations and what remedies would be available. The discussion describes frameworks developing around the time of publication, so its account should not be treated as a current legislative status update. Use it to examine the structure of rights-based governance.

Study task: Translate a broad AI-governance principle into an obligation and a remedy. Explain what evidence would be needed to assess compliance.

Chapter 39: European Approaches to the Regulation of Digital Technologies

The final chapter describes a shift toward a more active European regulatory approach to digital services, platforms and markets. It situates measures such as data-protection regulation within a broader policy trajectory. Compare the problems an instrument targets, its responsible actors and the mechanism through which it seeks change. Different legal tools may complement one another without being identical. Treat the chapter as an analysis of its publication period and consult authoritative current texts before applying it to a live compliance question.

Study task: Compare two regulatory objectives, such as data protection and platform accountability. Explain why addressing one does not automatically satisfy the other.

Integrated case assignment

Choose a platform, automated public service or workplace system. Describe its technical function and map affected groups, data flows, incentives and decision rights. Use at least one foundation chapter, one system-design chapter and one societal chapter to analyze it. Propose an alternative design or governance arrangement, explaining both the intended improvement and a possible trade-off. Define who could challenge an outcome and what evidence would trigger revision.

Suggested study plan

1. Begin with Chapters 1–8 and write an account of human agency that can guide a concrete digital-system decision.
2. Study Chapters 9–17 to connect AI methods and limits with accountability, ethics, work and cultural interpretation.
3. Use Chapters 18–26 to build a development and governance plan incorporating participation, assurance, privacy and resilience.
4. Read Chapters 27–39 and map how recommendation, bias, labor, platform economics, sovereignty and rights interact in one case.
5. Return to the original question and propose a change with an accountable actor, a review process and evidence for evaluating its effects.

Questions for deeper understanding

• Who retains responsibility when a decision is automated?
• When is human oversight meaningful rather than merely procedural?
• How can an efficiency gain reduce autonomy, resilience or fairness?
• Which people are absent from a system's data, design process or public account of its benefits?
• What institutional change is needed alongside a technical modification?

Edition and source coverage

Source edition: Hannes Werthner, Carlo Ghezzi, Jeff Kramer and colleagues, editors, Springer, 2024, DOI 10.1007/978-3-031-45304-5. This original study companion follows the verified chapter sequence and the chapter descriptions, abstracts and learning material on the official publisher's book page and linked open-access chapters. The explanations synthesize the main concepts and add original study tasks; they do not reproduce exercise solutions or claim to cover every derivation, dataset or case example. Consult the full chapters for detailed methods, evidence, figures and references.