Algorithmic Accountability

Algorithmic accountability refers to the practice of holding developers and organizations responsible for the decisions made by their artificial intelligence and machine learning algorithms. As AI becomes increasingly pervasive in various aspects of life, ensuring algorithmic accountability is crucial for preventing biases, errors, and potential harm to individuals and society, making it a pressing concern for the tech community to develop and implement transparent, explainable, and fair AI systems.