European Commission to set up ethics committee on artificial intelligence
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ttee in charge of the 18-month study consists of 15 experts spanning a range of science disciplines, and will highlight those areas of science that already have good data on reproducibility and replicability, and those that do not. The study will also review methods to improve reproducibility and replicability, present examples of best practices, and explore issues that hinder scientists’ ability to reproduce or replicate experiments and results across the breadth of the science enterprise. Based on the Nature survey, reproducibility appears to be a problem across scientific disciplines, and both Hurd and Baker agree that materials research is no exception. Baker says, “It is not surprising that so many published results in materials research are irreproducible. Most interesting materials problems are complex, with many variables. Under high pressure to publish and little risk of being held accountable, many researchers simply conduct their work using their own distributions of dependent and independent variables. The results may be correct for that set of experiments, but cannot be reproduced.” Hurd agrees with Baker’s assessment that the pressure to succeed, often measured by the ability to produce high impact and/or large numbers of published results, is a driving factor of reproducibility issues within
European Commission to set up ethics committee on artificial intelligence
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rom better health care to safer transport and more sustainable farming, artificial intelligence (AI) can bring major benefits to society and the economy. Yet, questions related to the impact of AI on the future of work and existing legislation are raised. According to the European Commission (EC), this calls for a wide, open, and inclusive discussion on how to use and develop AI both successfully and ethically sound.
EC Vice President for the Digital Single Market Andrus Ansip says, “Step by step, we are setting up the right environment for Europe to make the most of what artificial intelligence can offer. Data, supercomputers, and bold investment are essential for developing artificial intelligence, along with a broad public discussion combined with the respect of ethical principles for its take-up.”
materials research. He also points out that open science might produce greater transparency and serve as one of the possible solutions to the issue of reproducibility in research. Baker also stresses the importance of taking a serious look at the issue of integrity in scientific research, and what role it plays in the “reproducibility crisis.” According to Baker, shining the light on these issues and bringing the discussion more out into the open would be an excellent first step toward a solution. “I suspect that people [within the materials community] are just not aware of the magnitude of the problem, so don’t take the snippets that they do hear too seriously,” Baker says. He also points out that sometimes even when it is discussed, the importance of the issue is overlooked, saying, “the well-known joke that ‘typical results’ can be tr
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