A revolutionary development in artificial intelligence, generative artificial intelligence (GenAI) can create original text, graphics, music, video, and code. The fields of journalism, multimedia production, marketing, healthcare, pharmaceuticals, finance, and software development are all greatly impacted by GenAI, which uses deep neural networks and machine learning techniques like transformers, generative adversarial networks (GANs), and variational autoencoders (VAEs). Although GenAI has enormous potential to boost productivity, creativity, and economic expansion, its quick development also presents serious moral, legal, and dependability issues, such as false information, privacy issues, and job displacement. To address these issues and ensure the responsible and fair integration of GenAI into society, cooperative efforts are needed to create clear and strong regulatory frameworks.

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GenAI in Business: Opportunities and Challenges

  • Vassakis Konstantinos,
  • Despina Christodoulaki,
  • Emmanouil Perakakis

摘要

A revolutionary development in artificial intelligence, generative artificial intelligence (GenAI) can create original text, graphics, music, video, and code. The fields of journalism, multimedia production, marketing, healthcare, pharmaceuticals, finance, and software development are all greatly impacted by GenAI, which uses deep neural networks and machine learning techniques like transformers, generative adversarial networks (GANs), and variational autoencoders (VAEs). Although GenAI has enormous potential to boost productivity, creativity, and economic expansion, its quick development also presents serious moral, legal, and dependability issues, such as false information, privacy issues, and job displacement. To address these issues and ensure the responsible and fair integration of GenAI into society, cooperative efforts are needed to create clear and strong regulatory frameworks.