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AI and Sustainability: Combining Ethics With Environmental Impact Assessment
Abstract
The broad scope of applications of artificial intelligence (AI) in many fields has also raised important issues concerning responsible practice and sustainability of the environment. In the current research, designing ethical AI systems and their impact on the environment are argued with a deliberate effort at embracing responsible and sustainable technology. Information were collected from the site under construction via a preprocessed systematic investigation for validity and processed later using Particle Swarm Optimization (PSO) with feature selection in mind. Bi-stacked Gated Recurrent Unit (GRU) has been utilized to feature extract of temporal patterns within ethics and environmental features to facilitate predictive analysis and identify possible biases. The conclusion highlights the need to reconcile fairness, transparency, and accountability of AI systems with their carbon footprint.
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