algorithmic accountability
Algorithmic accountability refers to the responsibility and transparency of algorithms, computer programs that make automated decisions. It involves the need for clear explanations, review mechanisms, and the ability to hold algorithms and their developers accountable for any potential biases, errors, or negative consequences they may cause.
Requires login.
Related Concepts (2)
Similar Concepts
- accountability
- accountability and transparency
- accountability in ai systems
- accountability of ai systems
- accountability tracking
- algorithmic bias
- algorithmic decision-making
- algorithmic execution
- algorithmic fairness
- authority and accountability
- bureaucratic accountability
- corporate accountability
- decision accountability
- financial accountability
- organizational accountability