General AI Concepts Flashcards
What are the pillars of responsible AI?
Fairness
Reliability and safety
Privacy and security
Inclusiveness
Transparency
Accountability
What pillar of responsible AI is described by:
The model should make predictions without incorporating any bias based on gender, ethnicity, or other factors that might result in an unfair advantage or disadvantage to specific groups of applicants.
Fairness
What pillar of responsible AI requires
AI-based software application development must be subjected to rigorous testing and deployment management processes to ensure that they work as expected before release. Additionally, software engineers need to take into account the probabilistic nature of machine learning models, and apply appropriate thresholds when evaluating confidence scores for predictions.
Reliability and safety
What pillar of AI responsibility is described by:
AI systems should empower everyone and engage people. AI should bring benefits to all parts of society, regardless of physical ability, gender, sexual orientation, ethnicity, or other factors.
Inclusiveness
What pillar of responsible AI is described as:
AI systems should be understandable. Users should be made fully aware of the purpose of the system, how it works, and what limitations may be expected.
Transparency
What pillar of responsible AI is described as:
Although many AI systems seem to operate autonomously, ultimately it’s the responsibility of the developers who trained and validated the models they use, and defined the logic that bases decisions on model predictions to ensure that the overall system meets responsibility requirements.
Accountability