Ethics and Value Sensitive Design Quiz

The study of what is good or right, examining the values and principles that shape human actions.

The systematic and critical examination of morality. Ethics focuses on analyzing moral principles and arguments without providing fixed answers.

A formal statement consisting of premises that support a conclusion. The premises provide evidence or reasons for believing the conclusion to be true.

The branch of ethics that describes existing moral beliefs, customs, and practices in a society. It focuses on observing how people actually behave.

The branch of ethics that focuses on making judgments about what is morally right or wrong. It aims to establish ethical norms or guidelines for behavior.

A statement that describes a fact or event. It is verifiable and can be objectively true or false.

A statement that expresses a value judgment about something being good or bad, desirable or undesirable. It reflects personal or societal values.

Deep-rooted beliefs that individuals or societies hold about what is important. Values guide how people live their lives and aim for a just society.

A theory of ethics that focuses on the act itself, regardless of the consequences. It emphasizes universal principles and duties.

A theory of ethics that judges the rightness or wrongness of an action based solely on its consequences. The outcome determines the morality of the action.

A theory of ethics that emphasizes the development of good character traits or virtues. It explores the qualities that make a person excellent.

A branch of philosophy that examines the fundamental nature of ethics, including the meaning, existence, and origins of moral truths.

A key question in meta-ethics, exploring whether moral values exist independently of human beliefs and whether they are objectively true.

The rules and agreements about how people should treat each other, often derived from shared values.

A situation where two or more ethical principles conflict, making it difficult to determine the right course of action.

The potential difficulties in accurately predicting the outcomes of actions, particularly in the context of consequentialist ethics.

The potential for biased outcomes due to the inherent assumptions and limitations built into AI systems.

The branch of AI that aims to incorporate ethical values into the design process of AI systems, focusing on principles like fairness, accountability, and transparency.

A type of VSD investigation that explores the experiences and contexts of people impacted by AI technology to understand the values at stake.

A type of VSD investigation that clarifies the values involved in AI design and explores ways to balance competing values.

A type of VSD investigation that analyzes the technical aspects of AI design to ensure it aligns with specific values effectively.

A method for promoting ethical AI by making technology embody specific values consciously, aiming to go beyond neutrality and integrate moral considerations.

The idea that AI systems can reflect the political biases of those who develop, train, or deploy them.

The use of facial recognition technology for mass surveillance, often used in authoritarian regimes to maintain social control.

A situation where no single person or entity can be held accountable for the actions of an AI system, due to its unpredictable or autonomous nature.

Accountability for events after they occur, focusing on wrongdoing, causal links, foreseeability, and freedom of choice.

Proactive approach to prevent harm before it occurs, including risk recognition, consequence consideration, ethical autonomy, and fulfilling role-based obligations.

The agent must have sufficient control over their actions.

The agent must understand and be aware of their actions.

The challenge of identifying a single person or entity responsible for the actions of complex systems with multiple contributors.

The ability of AI systems to modify their behavior or decision-making rules during operation, leading to unpredictable outcomes and challenging traditional accountability frameworks.

The ethical considerations of AI systems exceeding human control, questioning whether such systems should be built and how responsibility should be assigned for actions beyond human intervention.

Refers to the intended positive impact of an artifact, as envisioned by the designers.

Emerges from the actual use of an artifact in real-world settings, reflecting how people interact with it.

The potential for a value to be realized if the artifact is used in a suitable context. The design carries this potential, but it may not always be actualized.

Features of a design that were intentionally included by the creators.

Unintended consequences or effects that arise from the design of an artifact, despite not being the original goal.

The artifact was designed with the specific intention of promoting or achieving a particular value, and its use is conducive to realizing that value.

The artifact must be created with the deliberate goal of promoting or achieving the intended value.

Using the artifact should naturally contribute to or foster the intended value. The design and use must be connected for value realization.

The values embedded in the technology itself, representing the goals and principles built into its design.

The personal values held by the individual using or interacting with the technology.

The values embodied in the institution or organization where the technology is used.

Deliberate actions taken by a user to achieve their values through technology.

Direct impacts of the technology itself, contributing to or opposing certain values, even without a user's intention.

Social rules and norms, translated into computer code, that govern the behavior of artificial agents.

Technical norms intentionally designed to promote a specific value, ensuring that following the norm leads to positive outcomes.

The ability of artificial agents to learn and adapt their own norms through interactions with their environment or other agents.