Technology Ethics
The study and application of ethical considerations in the development, implementation, and use of technology. Crucial for ensuring that technological advancements align with ethical standards and societal values.
46 topics found for:
“ethical standards”
Ethical AI Maturity Model
A framework for assessing and improving an organization's ethical practices in the development and deployment of AI. Important for ensuring that AI systems are developed responsibly and ethically.
Compliance
Adhering to laws, regulations, and guidelines relevant to business operations and product development. Crucial for ensuring products and practices meet legal and ethical standards.
Design Ethics
The principles and guidelines that govern the moral and ethical aspects of design, ensuring that designs are socially responsible and beneficial. Crucial for creating designs that are ethical, inclusive, and socially responsible.
Ethical AI Frameworks
Guidelines and principles designed to ensure that AI systems are developed and used in a manner that is ethical and responsible. Crucial for building trust and ensuring the responsible use of AI technologies.
Scarcity Tactics
A dark pattern where availability is falsely limited to pressure users into making a purchase. Awareness of this deceptive practice is important to provide honest information about product availability.
Ethical Data Use
The practice of collecting, processing, and using data in ways that respect privacy, consent, and the well-being of individuals. Essential for building trust and ensuring compliance with legal and ethical standards.
Transparency
The practice of being open and honest about operations, decisions, and business practices, fostering trust and accountability. Essential for building trust with users and stakeholders and ensuring ethical business practices.
AI Transparency
The degree to which the operations and decisions of an AI system are understandable and explainable to users. Crucial for building trust and ensuring ethical AI use.
Forced Action
A dark pattern where the user is required to do something in order to access certain functionality or information. Designers must avoid compulsory actions and provide optional choices to respect user autonomy.
Moral Suasion
The act of persuading individuals or organizations to act in a certain way based on moral arguments or appeals. Useful for designing persuasive communications and ethical influence strategies.
Interface Interference
A dark pattern where the user interface is manipulated in a way that prioritizes certain actions over others to benefit the company. It's crucial to avoid this tactic and design fair interfaces without manipulating user actions.
Misdirection
A dark pattern where the design focuses the user's attention on one thing to distract them from another. Designers should avoid this deceptive tactic and ensure user attention is not unfairly diverted.
Sneak Into Basket
A dark pattern where a product sneaks an additional item into the user's shopping cart, often through a pre-selected checkbox. Designers should avoid this practice and ensure users have full control over their purchases to maintain trust.
Price Comparison Prevention
A dark pattern where practices are used to make it hard for users to compare prices with other options. It's essential to avoid this tactic and promote fair competition by allowing users to make informed decisions.
Confirmshaming
A dark pattern where the user is guilt-tripped into opting into something by using language designed to shame them if they decline. Designers must avoid this manipulative tactic and respect user decisions without using guilt or shame.
Accessibility
The design of products, devices, services, or environments for people with disabilities or specific needs. Crucial for creating inclusive products that can be used by everyone, including those with disabilities.
TRiSM
Trust, Risk, and Security Management (TRiSM) is a framework for managing the trust, risk, and security of AI systems to ensure they are safe, reliable, and ethical. Essential for ensuring the responsible deployment and management of AI technologies.
Privacy Zuckering
A dark pattern where the user is tricked into publicly sharing more information about themselves than they intended. Designers must avoid this deceptive practice and ensure clear, consensual data sharing to respect user privacy.
Persuasive Technology
Technology designed to change attitudes or behaviors of users through persuasion and social influence, but not coercion. Crucial for designing systems that effectively influence user behavior while maintaining ethical standards.
Obfuscated Options
A dark pattern where options to opt out or cancel services are deliberately hidden or made difficult to find. It's essential to avoid hiding options and provide clear, accessible choices for users to manage their preferences.
Dark Patterns
UI/UX design tactics that intentionally manipulate users into taking actions they might not otherwise take. Important for recognizing and avoiding unethical design practices.
Confirming Subscription
A dark pattern where users are tricked into confirming a subscription through misleading language or design. It's crucial to avoid misleading users and ensure clear communication about subscription terms and conditions.
HITL
Human in the Loop (HITL) integrates human judgment into the decision-making process of AI systems. Crucial for ensuring AI reliability and alignment with human values.
Trick Questions
A dark pattern where questions are worded in a way that tricks the user into giving an answer they didn't intend. Recognizing the harm of this practice is important to maintain clarity and honesty in user interactions.
Pre-Selected Options
A dark pattern where options that benefit the service provider are pre-selected for the user. Designers should avoid default selections and ensure users make active choices that are in their best interest.
Persuasion Architecture
A strategic framework that designs user experiences to guide behavior and decisions towards desired outcomes. Crucial for creating effective and ethical influence in digital interfaces.
Activity Tracking
A dark pattern where users' activities are tracked without their explicit consent or knowledge. Designers must avoid this practice and ensure clear communication about tracking to respect user privacy.
Hidden Costs
A dark pattern where additional costs are only revealed at the last step of the checkout process. It's essential to avoid this tactic and promote transparent pricing to build user trust.
Omission Bias
A cognitive bias where people judge harmful actions as worse, or less moral, than equally harmful omissions (inactions). Important for understanding user decision-making and designing systems that mitigate this bias.
XAI
Explainable AI (XAI) are AI systems that provide clear and understandable explanations for their decisions and actions. This transparency is crucial for building trust and confidence in AI applications across various domains.
Roach Motel
A dark pattern where it's easy to get into a situation but hard to get out of it, such as signing up for a service but finding it difficult to cancel. Awareness of this tactic is crucial to design fair user experiences with straightforward entry and exit points.
Privacy by Design
A framework that incorporates privacy considerations into the design and development of products and services from the outset. Crucial for ensuring user privacy and compliance with data protection regulations.
Forced Continuity
A dark pattern where a free trial ends and the user is automatically charged without warning. Designers should avoid this practice and ensure users are clearly informed about charges to maintain ethical standards.
Trick Cancellation
A dark pattern where the cancellation process is intentionally complicated to discourage users from canceling. Designers must avoid complicating cancellations and respect user decisions with a straightforward process.
Prompt Defense
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes. Essential for improving the accuracy and relevance of AI responses.
Friend Spam
A dark pattern where the product asks for the user's social media or email credentials and then spams all the user's contacts. Recognizing the harm of this practice is important to protect user trust and avoid spamming their contacts.
a11y
Numeronym for the word "Accessibility" (A + 11 letters + Y), designing for ease of use by all people, ensuring equal access to those with disabilities. Crucial for ensuring inclusivity and compliance with accessibility standards.
Negative Prompt
In AI and machine learning, a prompt that specifies what should be avoided or excluded in the generated output, guiding the system to produce more accurate and relevant results. Crucial for refining AI-generated content by providing clear instructions on undesired elements, improving output quality and relevance.
Scarcity
A psychological principle where people place higher value on objects or opportunities that are perceived to be limited or rare. Important for understanding consumer behavior and designing marketing strategies that leverage perceived scarcity.
RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models. Essential for improving the alignment and performance of AI systems in real-world applications.
Principles Over Processes
A design philosophy that emphasizes core design principles over rigid adherence to standardized processes. Essential for maintaining creativity and innovation in large-scale, process-driven environments.
Turing Test
A test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human. Important for evaluating the intelligence of AI systems.
Product Development
Product Development is the process of bringing a new product to market or improving an existing one. Crucial for innovation, meeting customer needs, and maintaining a competitive edge.
NPS
Net Promoter Score (NPS) is a metric used to measure customer loyalty and satisfaction based on their likelihood to recommend a product or service to others. Crucial for gauging overall customer sentiment and predicting business growth through customer advocacy.
ModelOps
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments. Crucial for ensuring the reliability, scalability, and performance of AI systems throughout their lifecycle, bridging the gap between model development and operational implementation.