paper-with-me

홈 › Papers

The Transformative Potential of Artificial Intelligence

2019-11-27 · Ross Gruetzemacher, Jess Whittlestone

The terms 'human-level artificial intelligence' and 'artificial general intelligence' are widely used to refer to the possibility of advanced artificial intelligence (AI) with potentially extreme impacts on society. These terms are poorly defined and do not necessarily indicate what is most important with respect to future societal impacts. We suggest that the term 'transformative AI' is a helpful alternative, reflecting the possibility that advanced AI systems could have very large impacts on society without reaching human-level cognitive abilities. To be most useful, however, more analysis of what it means for AI to be 'transformative' is needed. In this paper, we propose three different levels on which AI might be said to be transformative, associated with different levels of societal change. We suggest that these distinctions would improve conversations between policy makers and decision makers concerning the mid- to long-term impacts of advances in AI. Further, we feel this would have a positive effect on strategic foresight efforts involving advanced AI, which we expect to illuminate paths to alternative futures. We conclude with a discussion of the benefits of our new framework and by highlighting directions for future work in this area.

📄 PDF Abstract BibTeX arXiv:1912.00747

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Can transformative AI shape a new age for our civilization?: Navigating between speculation and reality

2024-12-11 · Jesus L. Lobo, Javier Del Ser

Artificial Intelligence is widely regarded as a transformative force with the potential to redefine numerous sectors of human civilization. While Artificial Intelligence has evolved from speculative fiction to a pivotal …

The Transform-o-meter: A method to forecast the transformative impact of innovation

2022-07-15 · Hector G. T. Torres

With the advent of Transformative Artificial Intelligence, it is now more important than ever to be able to both measure and forecast the transformative impact/potential of innovation. However, current methods fall short…

Artificial Intelligence Approaches for Anti-Addiction Drug Discovery

2025-02-05 · Dong Chen, Jian Jiang, Zhe Su, Guo-Wei Wei

Drug addiction is a complex and pervasive global challenge that continues to pose significant public health concerns. Traditional approaches to anti-addiction drug discovery have struggled to deliver effective therapeuti…

Drug Discovery

Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine

2024-06-18 · Rui Yang, Yilin Ning, Emilia Keppo, Mingxuan Liu 외

Generative artificial intelligence (AI) has brought revolutionary innovations in various fields, including medicine. However, it also exhibits limitations. In response, retrieval-augmented generation (RAG) provides a pot…

RAGRetrievalRetrieval-augmented Generation

Beyond Text-to-Text: An Overview of Multimodal and Generative Artificial Intelligence for Education Using Topic Modeling

2024-09-24 · Ville Heilala, Roberto Araya, Raija Hämäläinen

Generative artificial intelligence (GenAI) can reshape education and learning. While large language models (LLMs) like ChatGPT dominate current educational research, multimodal capabilities, such as text-to-speech and te…

Articlestext-to-speechText to Speech