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.
20 topics found for:
“ethical business practices”
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.
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.
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.
Design Maturity
The level of sophistication and integration of design practices within an organization's processes and culture. Essential for assessing and improving the effectiveness of design in driving business value and innovation.
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.
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.
Product Strategy
Product Strategy is a framework that outlines how a product will achieve its business goals and satisfy customer needs. Crucial for guiding product development, prioritizing features, and aligning the team around a clear vision.
Exit Modal
A pop-up dialog that appears when a user attempts to leave a page or application, which can be used to prevent loss of progress or data, or to confirm user intent. While it can be used ethically to prevent data loss or confirm actions, designers must avoid using it to deceive, delay, block, or interfere with the user's intent, thus ensuring it does not become a dark pattern.
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.
Design Leadership
The practice of guiding and inspiring teams to create effective, user-centered design solutions that align with business goals. Crucial for fostering a culture of innovation, collaboration, and excellence in design practices within organizations.
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.
AIaaS
AI as a Service (AIaaS) is a service model where AI tools and algorithms are provided over the internet by a third-party provider. Essential for making advanced AI capabilities accessible to businesses.
Moral Luck
A phenomenon where the success or failure of a design or business outcome is influenced by external factors beyond the control of the decision-makers, akin to serendipity. Important for recognizing and accounting for external influences in performance evaluations to ensure fair assessments and informed decisions.
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.
NPD
New Product Development (NPD) is the complete process of bringing a new product to market, from idea generation to commercialization. Essential for companies to innovate, stay competitive, and meet evolving customer needs through a structured approach to creating and launching new offerings.
Design Principles
Fundamental guidelines that inform and shape the design process, ensuring consistency, usability, and effectiveness in product creation. Essential for creating coherent, user-centered designs that align with organizational goals and user needs.
InfoVis
Information Visualization (InfoVis) is the study and practice of visual representations of abstract data to reinforce human cognition. Crucial for transforming complex data into intuitive visual formats, enabling faster insights and better decision-making.
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.
MVP
Minimum Viable Product (MVP) is a version of a product with just enough features to be usable by early customers who can then provide feedback for future product development. Essential for validating product ideas quickly and cost-effectively, allowing teams to learn about customer needs without fully developing the product.