Robotics & Machine Learning Daily News2024,Issue(Jun.5) :18-19.

Research on Artificial Intelligence Described by a Researcher at Universidad Aut onoma de Queretaro (Digital Resurrection: Challenging the Boundary between Life and Death with Artificial Intelligence)

Universidad Aut Ouma de Queretaro(数字复活:用人工智能挑战生死界限)的一位研究员描述的人工智能研究

Robotics & Machine Learning Daily News2024,Issue(Jun.5) :18-19.

Research on Artificial Intelligence Described by a Researcher at Universidad Aut onoma de Queretaro (Digital Resurrection: Challenging the Boundary between Life and Death with Artificial Intelligence)

Universidad Aut Ouma de Queretaro(数字复活:用人工智能挑战生死界限)的一位研究员描述的人工智能研究

扫码查看

摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一份新报告的主题。根据NewsRx记者从Univers idad Autonoma de Queretaro获得的消息,研究表明:“人工智能(AI)的优点在生物伦理领域带来了挑战,特别是在与生死有关的问题上。人工智能已经渗透到健康和研究等领域,产生了伦理困境和关于竞争、决策和决策的问题。”生命和死亡已经引起了人们的关注,特别是与抑郁症有关的问题。我们的新闻记者从Universidad Auto Noma de Queretaro的研究中获得了一句话:“人工智能创造了像Thanabots或Deadbots这样的系统,这些系统通过挖掘来重新创造死亡的个人,并允许与他们互动。这些系统依赖于人工智能用户在其一生中产生的信息,引发了关于这些恢复的真实性和目的的心理和情感问题。人工智能死亡和人类,促成了一种与死者沟通的新形式。然而,这引发了一些伦理问题,比如用户的知情同意,以及数字娱乐的局限性。Panies提供的服务包括死者的数字复活和超现实化身的生成。这些表征的真实性及其长期情感影响引起了人们的担忧。与萨纳博特的互动可能会改变对死亡和有限的看法,导致一个潜在的“死后社会”,死亡不再被视为最终的结局。然而,这引起了关于生命价值和人类经验真实性的问题。人工智能成为生与死之间的桥梁,部分取代了仪式和神秘信仰。随着技术的进步,在与人工智能系统互动方面将需要更大的透明度,并对这些技术在塑造生死观念方面的作用进行道德审查。最终,问题是我们是否应该让死者安息,以及如何在寻求情感救济与真实性和尊重死者记忆之间取得平衡。需要对人工智能如何改变当代社会的传统生、死和沟通观念进行更深入的伦理考虑。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news originating from the Univers idad Autonoma de Queretaro by NewsRx correspondents, research stated, “The advan cement of Artificial Intelligence (AI) poses challenges in the field of bioethic s, especially concerning issues related to life and death. AI has permeated area s such as health and research, generating ethical dilemmas and questions about p rivacy, decision-making, and access to technology. Life and death have been recu rring human concerns, particularly in connection with depression.” Our news correspondents obtained a quote from the research from Universidad Auto noma de Queretaro: “AI has created systems like Thanabots or Deadbots, which dig itally recreate deceased individuals and allow interactions with them. These sys tems rely on information generated by AI users during their lifetime, raising et hical and emotional questions about the authenticity and purpose of these recrea tions. AI acts as a mediator between life, death, and the human being, enabling a new form of communication with the deceased. However, this raises ethical issu es such as informed consent from users and the limits of digital recreation. Com panies offer services like the Digital Resurrection of deceased individuals and the generation of hyper-realistic avatars. Still, concerns arise about the authe nticity of these representations and their long-term emotional impact. Interacti on with Thanabots may alter perceptions of death and finitude, leading to a pote ntial “postmortal society” where death is no longer viewed as a definitive end. Nevertheless, this raises questions about the value of life and the authenticity of human experiences. AI becomes a bridge between the living and the dead, part ially replacing rituals and mystical beliefs. As technology advances, there will be a need for greater transparency in interacting with AI systems and ethical r eflections on the role of these technologies in shaping perceptions of life and death. Ultimately, the question arises of whether we should allow the dead to re st in peace and how to balance the pursuit of emotional relief with authenticity and respect for the memory of the deceased. A deeper ethical consideration is n eeded on how AI alters traditional notions of life, death, and communication in contemporary society.”

Key words

Universidad Autonoma de Queretaro/Artif icial Intelligence/Emerging Technologies/Machine Learning/Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文