The need for transparency and accountability in algorithmic decision making is on the rise. This is so because more organizations rely on machine learning algorithms for decision-making in many aspects of the organization.
Preventing machine learning attacks is a big deal. Adversarial machine learning is a newer field focused on preventing security attacks on machine learning applications.
Machine learning is a branch of artificial intelligence that deals with the design and development of algorithms that can learn from and make predictions on data.
The growing use of Artificial Intelligence and Machine Learning in products and services in the 21st century has also increased the need for responsible use of these technologies.