Artificial Intelligence popularly known as AI, is integrated largely in our daily business. However, as they say with large integration comes a wider range of risks that may potentially outplay the positive usage of the technology. The review critically examines possible challenges and risks that are inherently associated with AI. Some of the concerns include ethics in data generation, privacy breaches, bias in decision-making, and some unexplored risks that may emerge from expanding AI solutions. This paper analyses various research articles addressing barriers to the safe usage of AI models. Also, it explores the ways of mitigating these implications. Some of the examples include regulatory considerations, ethics codes, and technological safeguards for ensuring the safe and responsible use of AI. A discussion on these key areas therefore offers an easily understood survey of modern debates about AI alongside practical suggestions on how to deal with these challenges effectively.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Risks Related to Artificial Intelligence and Their Mitigation Techniques: Review on Recent Advances

  • Danish Kapoor,
  • Anmol Bhatia

摘要

Artificial Intelligence popularly known as AI, is integrated largely in our daily business. However, as they say with large integration comes a wider range of risks that may potentially outplay the positive usage of the technology. The review critically examines possible challenges and risks that are inherently associated with AI. Some of the concerns include ethics in data generation, privacy breaches, bias in decision-making, and some unexplored risks that may emerge from expanding AI solutions. This paper analyses various research articles addressing barriers to the safe usage of AI models. Also, it explores the ways of mitigating these implications. Some of the examples include regulatory considerations, ethics codes, and technological safeguards for ensuring the safe and responsible use of AI. A discussion on these key areas therefore offers an easily understood survey of modern debates about AI alongside practical suggestions on how to deal with these challenges effectively.