Abstract
Since the 1950s, artificial intelligence (AI) has been a recurring topic in research. However, this field has only recently gained significant momentum because of the advances in technology and algorithms, along with new AI techniques such as machine learning methods for structured data, modern deep learning, and natural language processing for unstructured data. Although companies are eager to join the fray of this new AI trend and take advantage of its potential benefits, it is unclear what implications AI will have on society now and in the long term. Using the five dimensions of sustainability to structure the analysis, we explore the impacts of AI on several domains. We find that there is a significant impact on all five dimensions, with positive and negative impacts, and that value, collaboration, sharing responsibilities; ethics will play a vital role in any future sustainable development of AI in society. Our exploration provides a foundation for in-depth discussions and future research collaborations.
Highlights
IntroductionThe progress and opportunities of artificial intelligence (AI) have been discussed by both technology enthusiasts (those who believe technology creates opportunities and eliminates inequalities) and technophobes (those who are disproportionately afraid of technology) [1]
The progress and opportunities of artificial intelligence (AI) have been discussed by both technology enthusiasts and technophobes [1].A controversial subject, AI has been discussed ever since its inception in the 1950s by JohnMcCarthy [2]
Technology enthusiast, physicist, and AI researcher Max Tegmark talks about the opportunities of AI and is convinced we can grow the world’s prosperity through automation, without leaving people lacking income or purpose; according to Tegmark, when AI is utilized in this manner, humanity does not have to fear an arms race [4]
Summary
The progress and opportunities of artificial intelligence (AI) have been discussed by both technology enthusiasts (those who believe technology creates opportunities and eliminates inequalities) and technophobes (those who are disproportionately afraid of technology) [1]. He concludes that computational sustainability has taken hold as a vibrant area of use-driven basic research for AI. We take this as an opportunity to explore the relation between AI and sustainability, as well as sustainable development, in terms of a technology impact assessment. This leads to the following central question for our research, which we base on previous work in sustainability assessment [14].
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