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Meaningful Explainable AI System:

correctly reflects the reason for generating the output and/or accurately reflects the system’s process.

only operates under conditions for which it was designed.

provides explanations that are understandable to the intended consumer(s).

delivers or contains accompanying evidence or reason(s) for outputs and/or processes.

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Black Box systems can be:

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Which option is not an Algorithm to User Bias:

User Interaction Bias

Population Bias

Algorithmic Bias

Popularity Bias

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The following is NOT a requirement by the EU High-Level Experts Guidelines for Trustworthy AI (HLEG):

technical robustness and safety;

accountability;

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make possible the transformation of information into instructions

are relevant, or usable, or significant, or meaningful, or processed values with context.

are symbols that are products of observation and represent properties of objects, events, environments.

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In Booking.com specific accommodations opinion polls to measure feedback, the most enthusiastic holiday makers are more likely to complete the poll. Is this a case of:

Population Bias

Behavioural Bias

Self-Selection Bias

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Data provided to or directly acquired by an AI system on the basis of which the system produces an output:

Validation data

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A Foundation Model does not use big data.

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Which system is not AI:

Expert System (ES)

Database System (DBS)

Decision-Support System (DSS)

Knowledge-Based System (KBS)

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Product Service Systems (PSS) promote sustainability by:

Avoiding customer responsibility for product disposal

Selling only disposable products

Encouraging businesses to offer products as services rather than single-use items

Increasing manufacturing waste

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