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Accountability serves as an adhesive that binds commitment to results. Now, a study on corporate carbon emissions targets reveals that firms hold limited accountability to their targets, with little public backlash against missed targets.
In this work, authors develop intelligent electronic gloves for Conditionally Automated Vehicles that dynamically adjust the time drivers have to take control based on real-time identification of non-driving behaviours improving takeover performance safety and stability.
Companies have set emissions reduction targets globally, yet whether they are held accountable for the outcomes remains uncertain. By examining the emissions targets that ended in 2020, researchers find low awareness of the failed targets and limited negative reactions from different stakeholders.
Uptake of explainable artificial intelligence (XAI) methods in geoscience is currently limited. We argue that such methods that reveal the decision processes of AI models can foster trust in their results and facilitate the broader adoption of AI.
Wooden bioresources are key materials for the transition to a circular bioeconomy, yet widespread adoption, for example in construction, still lags. Growth is stalled by policy gaps, resource debates and limited public confidence. A blueprint for global initiatives can help realize the full potential of bio-based materials.
Bennu gives researchers clues about how the chemicals that make up life arose, how a maize monoculture might have supported a mysterious civilization and why the new AI model DeepSeek R1 has sent shockwaves around the world.
As autonomous taxis expand rapidly across Chinese cities, concerns about safety, regulation and socioeconomic effects are rising. Hong Yang calls for comprehensive legislation and proactive measures to ensure these technologies benefit all urban residents.
