How privacy erodes…
Germany vs Google: How Street View Won the Privacy Battle in Europe’s Most Private Country
For residents and tourists alike, Google Maps Street View is an exceptionally useful navigational tool. However, not every country has welcomed Google’s iconic Street View cars to their streets. One of these longtime holdouts, Germany, has only recently begun to change its tune after more than a decade of resistance. But why?
Using AI to write grant proposals to study AI? Pass this to your favorite academic.
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011863
Ten simple rules to leverage large language models for getting grants
… As writers of scientific proposals, we believe that writing proposals is a very personal exercise where the final product is best when imbued with the ideas, style, and personality of the writer. The iterative process of drafting and refining also helps develop scientific writing skills [15 ], which are essential for a successful long-term career in academia. We also believe, however, that scientists can benefit immensely from including AI in this process, as assistants or makeshift reviewers, in particular as the algorithms that power these systems become better and more widely available. This article aims to strike a delicate balance—an enthusiastic yet cautionary tale outlining 10 best practice tips (summarized in Fig 1 ) for using LLMs during your grant writing journey.
Perspective.
https://ieeexplore.ieee.org/abstract/document/10454111
Guest Editorial: Ethics in Affective Computing
Stunning advances in machine learning are heralding a new era in sensing, interpreting, simulating and stimulating human emotion. In the human sciences, research is increasingly highlighting the explanatory power of emotions, feelings, and other affective processes to predict how we think and behave. This is beginning to translate into an explosion of applications that can improve human wellbeing including methods to reduce stress and improve emotion regulation skills, techniques to support healthier social media use, pain monitoring in neonates, and decision-support tools that recognize emotional bias.
Yet these transformations raise legitimate concerns. Affective computing applications sometimes proceed independently from findings in affective science or a broader consideration of human well-being. For example, some “emotion recognition” products claim to reveal what a customer truly feels from a decontextualized image of their face alone (a capability that affective science has long deemed implausible). Other methods naively incorporate biases that would undermine individuals’ rights or fair access to resources. Even when a product has a strong scientific basis, there can be good reasons to restrict its use due to questionable societal value or concerns that its widespread use could undermine cherished rights.
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