Smart Dams and Malicious AIs

Smart Dams More than 58,000 dams that are built higher than 15 meters (50 feet) exist on nearly all the world’s rivers. Consequently, migratory fish stocks have declined by 76% since 1970 and populations of “megafish” have declined by 94%. Two water resource engineers combined fish migratory taxonomy data with migratory fish life cycle and dam impact models to determine the best fish rescue strategies for five flagship fish species residing in the 12 large dams on the Yangtze River in China. They identified six major misjudgments in China’s fish rescue programs and concluded that large, effective fishways are essential for maintaining robust fish stocks. Malicious AIs The quest for more powerful and capable AIs inevitably involves making more sophisticated training algorithms and models with a larger number of parameters. While pursuing this quest, AI developers are also investigating how to align AIs with the values and behaviors we want. Recent research demonstrated that those two goals currently stand in opposition to one another. Specifically, making larger, more sophisticated models results in AIs that effectively resist training to eliminate malicious behavior—regardless of whether the malicious behavior was intentionally programmed or an unintended consequence. Such results provide additional evidence that we humans need to build godly character in ourselves so that we can wisely and responsibly develop and use these powerful AI tools. Links and Resources: Dams Trigger Exponential Population Declines of Migratory Fish The Evaluation of a Definite Integral by the Method of Brackets Illustrating Its Flexibility