ai-limitations

Vocabulary Word

Definition
'AI-limitations' refers to the obstacles or challenges of artificial intelligence. Like all technologies, AI also has its `limitations` which hold back its potential or might cause it to make errors.
Examples in Different Contexts
One of the significant 'AI limitations' involves ethical and social implications, including biases in decision-making processes and privacy concerns. An ethicist might caution, 'While AI has vast potential, its limitations around ethics and bias must be carefully managed to prevent harm and ensure fairness.'
Practice Scenarios
Ethics

Scenario:

Our AI decision-making system works technically sound but struggles with moral dilemmas. What consideration should we give to human ethics in future adjustments?

Response:

Absolutely, the inherent AI limitations in ethical judgement need consideration. Perhaps we could input a moral code into the system.

Public-Policy

Scenario:

Our latest predictive model seems to be falling short in understanding social issues. Are we underestimating the complexity of human behavior?

Response:

Agree. One of the AI limitations is its struggle with complex social nuances. We should consider this in our model adjustments.

Related Words
model-interpretabilityrobust-learningtechnical-limitationsexplainable-aiai-developmentai-transparencybehavioral-insightsunderfitting