https://terms-en.ai-term-hub.com/zh/tags/society/Recent content in Society on 中文AI术语词典Hugozh-cnSat, 18 Jul 2026 11:44:45 +0000https://terms-en.ai-term-hub.com/zh/terms/moral_outsourcing/Sat, 18 Jul 2026 11:26:37 +0000https://terms-en.ai-term-hub.com/zh/terms/moral_outsourcing/<h2 id="definition">Definition</h2> <p>道德外包是指人类将伦理判断和责任让渡给算法或人工智能系统的现象。当人们依赖自动化决策来处理具有重大道德意义的事务时，就会发生这种情况。</p> <h3 id="summary">Summary</h3> <p>个人或组织将道德决策责任委托给自动化人工智能系统所带来的伦理关切。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>问责制缺口</li> <li>算法偏见</li> <li>人类能动性</li> <li>伦理责任</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>分析自动驾驶汽车的伦理影响</li> <li>评估自动化招聘工具的公平性</li> <li>讨论医疗诊断 AI 的责任归属</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/ai-%E4%BC%A6%E7%90%86-ai-ethics/">AI 伦理 (AI Ethics)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E7%AE%97%E6%B3%95%E9%97%AE%E8%B4%A3%E5%88%B6-algorithmic-accountability/">算法问责制 (Algorithmic Accountability)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E8%B4%9F%E8%B4%A3%E4%BB%BB%E7%9A%84%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD-responsible-ai/">负责任的人工智能 (Responsible AI)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E5%81%8F%E8%A7%81%E7%BC%93%E8%A7%A3-bias-mitigation/">偏见缓解 (Bias Mitigation)</a></li> </ul>https://terms-en.ai-term-hub.com/zh/terms/is_this_what_we_want/Sat, 18 Jul 2026 11:22:43 +0000https://terms-en.ai-term-hub.com/zh/terms/is_this_what_we_want/<h2 id="definition">Definition</h2> <p>这一短语代表了人工智能伦理和治理中的一个关键问题，促使利益相关者评估部署的人工智能技术是否符合人类价值观和公共利益。它涉及审查</p> <h3 id="summary">Summary</h3> <p>一种批判性的伦理框架，用于根据社会价值观、公平性和潜在有害后果来评估人工智能系统。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>人工智能伦理</li> <li>价值对齐</li> <li>社会影响</li> <li>负责任的人工智能</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>人工智能监管的政策制定</li> <li>企业人工智能治理审查</li> <li>关于人脸识别的公众辩论</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/algorithmic-bias-%E7%AE%97%E6%B3%95%E5%81%8F%E8%A7%81/">Algorithmic Bias (算法偏见)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/ai-safety-%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E5%AE%89%E5%85%A8/">AI Safety (人工智能安全)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/ethical-ai-%E4%BC%A6%E7%90%86%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD/">Ethical AI (伦理人工智能)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/governance-%E6%B2%BB%E7%90%86/">Governance (治理)</a></li> </ul>https://terms-en.ai-term-hub.com/zh/terms/gender_digital_divide/Sat, 18 Jul 2026 11:18:16 +0000https://terms-en.ai-term-hub.com/zh/terms/gender_digital_divide/<h2 id="definition">Definition</h2> <p>这一社会技术概念突出了女性与女孩在数字设备访问、互联网连接和数字素养技能方面往往少于男性和男孩的差异。这些差&hellip;</p> <h3 id="summary">Summary</h3> <p>性别数字鸿沟是指男性与女性在获取、使用信息通信技术以及从中获益方面存在的差距。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>数字公平</li> <li>接入差异</li> <li>社会经济因素</li> <li>包容性</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>政策制定</li> <li>社会影响评估</li> <li>人工智能偏见缓解</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/digital-literacy-%E6%95%B0%E5%AD%97%E7%B4%A0%E5%85%BB/">Digital Literacy (数字素养)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/equity-%E5%85%AC%E5%B9%B3/">Equity (公平)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/bias-%E5%81%8F%E8%A7%81/">Bias (偏见)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/ict-access-%E4%BF%A1%E6%81%AF%E9%80%9A%E4%BF%A1%E6%8A%80%E6%9C%AF%E6%8E%A5%E5%85%A5/">ICT Access (信息通信技术接入)</a></li> </ul>https://terms-en.ai-term-hub.com/zh/terms/artificial_intelligence_controversies/Sat, 18 Jul 2026 11:06:52 +0000https://terms-en.ai-term-hub.com/zh/terms/artificial_intelligence_controversies/<h2 id="definition">Definition</h2> <p>人工智能争议涵盖了由人工智能技术引发的广泛伦理、法律和社会纠纷。关键问题包括算法偏见、隐私侵犯、就业替代以及责任归属等。</p> <h3 id="summary">Summary</h3> <p>围绕人工智能开发和应用带来的伦理、社会和技术影响的公共辩论与分歧。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>算法偏见</li> <li>隐私担忧</li> <li>就业替代</li> <li>伦理治理</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>政策制定与监管</li> <li>企业伦理委员会运作</li> <li>公众舆论分析</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/ai%E4%BC%A6%E7%90%86-ai-ethics/">AI伦理 (AI ethics)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E5%81%8F%E8%A7%81%E7%BC%93%E8%A7%A3-bias-mitigation/">偏见缓解 (Bias mitigation)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E6%95%B0%E6%8D%AE%E9%9A%90%E7%A7%81-data-privacy/">数据隐私 (Data privacy)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E5%90%88%E8%A7%84%E6%80%A7%E7%9B%91%E7%AE%A1-regulatory-compliance/">合规性监管 (Regulatory compliance)</a></li> </ul>https://terms-en.ai-term-hub.com/zh/terms/artificial_intelligence_and_elections/Sat, 18 Jul 2026 11:06:41 +0000https://terms-en.ai-term-hub.com/zh/terms/artificial_intelligence_and_elections/<h2 id="definition">Definition</h2> <p>该术语涵盖了AI在民主进程中的双重角色：通过数据分析提高效率，同时通过操纵带来风险。一方面，AI帮助竞选活动精准定位选民并优化策略；另一方面，它也引发了关于虚假信息传播的担忧。</p> <h3 id="summary">Summary</h3> <p>AI技术在选举过程中的应用，包括竞选管理、选民分析以及对错误信息的担忧。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>微观定位</li> <li>虚假信息</li> <li>深度伪造</li> <li>选举完整性</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>通过社交媒体数据分析选民情绪</li> <li>检测在线假新闻和机器人活动</li> <li>自动化投票系统中的行政任务</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/political_messaging-%E6%94%BF%E6%B2%BB%E4%BC%A0%E6%92%AD/">political_messaging (政治传播)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/social_media_manipulation-%E7%A4%BE%E4%BA%A4%E5%AA%92%E4%BD%93%E6%93%8D%E7%BA%B5/">social_media_manipulation (社交媒体操纵)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/data_privacy-%E6%95%B0%E6%8D%AE%E9%9A%90%E7%A7%81/">data_privacy (数据隐私)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/democratic_resilience-%E6%B0%91%E4%B8%BB%E9%9F%A7%E6%80%A7/">democratic_resilience (民主韧性)</a></li> </ul>