Top Highlights

• The biases of technology creators trickle down to their creations. While AI researchers pride themselves on being rational and data-driven, they can be blind to issues such as racial or gender bias or ethical issues that aren’t easily captured by numbers. With AI now used in high-stakes systems to identify terrorists, predict criminal recidivism, a...
• Recent breakthroughs in neural network models have inspired a resurgence of computational creativity, with computers now capable of producing original writing, imagery, music, industrial designs, and even AI software!(12)
• Even then, neural networks trained on tiger photos do not reliably recognize abstractions or representations of tigers, such as cartoons or costumes.
• As humans, we’re limited in our intelligence by our biological brains, also known as “wetware."
• To reduce the number of unnecessary surgical interventions, researchers at MIT and Harvard Medical School have developed a diagnostic tool that uses machine learning to correctly identify 97 percent of malignant tumors. Since deployment, the technology has reduced the number of benign surgeries by 30 percent.(28)