Harvard Business Review: Why We Need to Audit Algorithms

Harvard Business Review: Why We Need to Audit Algorithms . “Algorithmic decision-making and artificial intelligence (AI) hold enormous potential and are likely to be economic blockbusters, but we worry that the hype has led many people to overlook the serious problems of introducing algorithms into business and society. Indeed, we see many succumbing to what Microsoft’s Kate Crawford calls “data fundamentalism” — the notion that massive datasets are repositories that yield reliable and objective truths, if only we can extract them using machine learning tools. A more nuanced view is needed. It is by now abundantly clear that, left unchecked, AI algorithms embedded in digital and social technologies can encode societal biases, accelerate the spread of rumors and disinformation, amplify echo chambers of public opinion, hijack our attention, and even impair our mental wellbeing.”

Penn State News: IST researchers develop tool to expand deep learning into security domains

Penn State News: IST researchers develop tool to expand deep learning into security domains. “Deep learning is a segment of artificial intelligence that focuses on algorithms that can learn the characteristics of text, images or sound from annotated examples provided to it. The team’s technique, named LEMNA, could help security analysts and machine-learning developers to establish trust in deep learning models by correctly identifying, explaining and correcting errors that the models make.”