在人工智能和机器人技术中首先嵌入道德:来自未来工程师的证据
Anne-Marie Oostveen1, Iveta Eimontaite1
1Centre for Robotics and Assembly, Faculty of Engineering and Applied Sciences (FEAS), Cranfield University, Cranfield, UK.
概括
未来的人工智能和机器人专业人员意识到道德风险,但缺乏正式培训. 提出了一个新的"道德提前"模式,以在工程教育和实践中早期整合道德反思.
科学领域:
- 人工智能伦理学
- 机器人工程 机器人工程 机器人工程
- 技术对社会的影响 技术对社会的影响
背景情况:
- 人工智能 (AI) 和机器人越来越多地融入社会.
- 确保这些技术与伦理和社会价值观保持一致是一个关键的挑战.
- 了解未来专业人士的观点对于负责任的发展至关重要.
研究的目的:
- 实证地调查未来的人工智能和机器人专业人员如何看待他们的道德责任.
- 识别道德意识和机构参与人工智能和机器人教育之间的差距.
- 为AI和机器人工程的早期伦理整合提出一个模型.
主要方法:
- 对克兰菲尔德大学98名士机器人和应用人工智能学生进行调查.
- 分析学生对道德风险的看法和对职业规范的参与.
- 对非正式的伦理反思机制的定性评估.
主要成果:
- 学生表现出对人工智能/机器人风险 (例如,自主战争,监视,就业流离失所) 的强烈认识.
- 观察到对正式的职业道德准则或结构化道德培训的参与有限.
- 伦理反思主要通过同行讨论和媒体曝光非正式地发生.
结论:
- 在未来的人工智能工程师中,道德意识和制度化的道德参与之间存在很大的差距.
- 拟议的"道德提前"模式旨在在AI/机器人开发生命周期的早期嵌入道德反思.
- 通过参与式设计,专业教育和监管调整整合道德是负责任的AI和机器人工程的关键.
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