Prof. Dr. Hassan Mahmood AboAlmaali
College of Pharmacy
Applications of Artificial Intelligence for Sustainability Objectives
In the current global scenario, it’s becoming increasingly difficult to locate an industry or field that hasn’t felt the impact of artificial intelligence. From supply chain management to healthcare, AI is steering every sector towards a future characterized by enhanced intelligence, efficiency, and sustainability.
1. AI-Powered Sustainable Data Analytics
To address the challenge of global warming effectively, the first imperative is the proficient analysis of its consequences. Furthermore, advanced artificial intelligence tools like GPTs are employed to contribute to sustainability efforts. They play a significant role in the meticulous review of corporate documents to minimize resource wastage. Through AI integration, valuable data related to transportation and electricity consumption can be systematically collected, processed, and comprehensively examined. This equips businesses with the capability to generate precise carbon footprint assessments while concurrently minimizing costs.
2. Agriculture
In a global environment characterized by a perpetual increase in food requirements, innovation plays a pivotal role. Fortunately, Artificial Intelligence (AI) is leading agriculture toward a more sustainable path.
3. Natural Disaster Preparedness
Furthermore, AI possesses the potential to significantly alleviate the impact of the escalating frequency and severity of extreme weather incidents, an outcome of climate change. Records indicate that millions of individuals are annually affected by flooding.
4. Addressing Air Pollution
The problem of air pollution is on a concerning trajectory. It is swiftly evolving into a worldwide crisis impacting both public health and the environment. This crisis is responsible for more than seven million premature deaths each year, along with health-related costs.
5. Energy Conservation through AI
Despite the significant growth in renewable energy investments, which currently represent just a minute amount of the world’s total energy production, there remains ample room for improving environmental sustainability. An effective strategy in this regard is to curtail energy consumption. Here, AI emerges as a potent tool for achieving this objective. It can scrutinize energy consumption patterns and provide insights into reduction strategies that enhance efficiency without compromising business productivity.
6. Sustainability-Enhanced Logistics Solutions
Moreover, AI also offers opportunities to improve the sustainability of a business’s distribution and logistics processes, segments that make up a substantial portion of the overall corporate carbon footprint. AI-driven software can facilitate the generation of optimized delivery routes, with a strong focus on sustainability. The adoption of route optimization systems has become crucial for logistics companies, delivering notable financial and environmental benefits.
AI-driven software can facilitate the generation of optimized delivery routes, with a strong focus on sustainability. The adoption of route optimization systems has become crucial for logistics companies, delivering notable financial and environmental benefits.
References:
⦁ Cowls J, Tsamados A, Taddeo M, Floridi L. The AI gambit: leveraging artificial intelligence to combat climate change-opportunities, challenges, and recommendations. AI Soc. 2023; 38 (1):283-307.
⦁ Ray, Partha. ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems. (2023).
⦁ Konstantinos I. Roumeliotis , Nikolaos D. Tselikas and Dimitrios K. Nasiopoulos. Unveiling Sustainability in Ecommerce: GPT-Powered Software for Identifying Sustainable Product Features, Sustainability, 2023, 15, 12015.
