The Role of Information in Developing Ethical and Accurate AI for Energy Systems

Artificial intelligence (AI) promises immense benefits but also risks if deployed irresponsibly, underscoring the importance of accurate, ethical development. This article establishes that diverse, representative training data is essential for avoiding biases and distortions in AI systems applied to crucial sectors like energy. Appropriate authorship procedures are needed to detail crucial AI contributions to creative outputs while respecting current limitations. Thoughtful compensation mechanisms can incentivize ongoing innovation focused on societal interests. overall, rigorous information curation, transparent authorship, and exploring equitable compensation protocols enables developing accurate, ethical AI to maximize shared prosperity.