口头答复 · 2024-11-13 · 第 14 届国会

AI招聘晋升工具偏见防范

Guidelines for Employers' Use of Automated Decision-making Tools for Hiring or Promotions to Prevent Biases

AI 治理与监管AI 安全与伦理AI 与就业AI 与国家安全 争议度 2 · 温和质询

议员质询政府是否考虑制定指导方针,规范雇主使用自动化决策工具以防止招聘和晋升中的偏见,并建议进行偏见审计及信息披露。人力部长回应现有《公平就业三方指引》已涵盖公平就业原则,且无相关投诉,强调AI技术快速发展,政府将持续监测并与相关机构合作评估现有规范的适用性。质询方补充关注数据隐私和员工同意问题,政府表示将考虑改进但不宜过度限制。

关键要点

  • 现有公平就业指引适用
  • 无AI歧视投诉记录
  • 关注数据隐私与同意
政府立场

依托现有指引,持续监测AI发展

质询立场

建议加强偏见审计与数据同意

政策信号

持续完善AI就业监管框架

"AI technologies are evolving at a fast pace. In deploying AI-powered HR tools, organisations should refer to the guidelines introduced by the Government."

参与人员(5)

完整译文(中文)

Hansard 英文原文译文 · 翻译日期:2026-05-02

3号议员郑德源先生询问人力部部长,是否会考虑出台关于雇主使用自动化就业决策工具(AEDT)的指导方针或法规。AEDT是指在招聘或晋升中实质性辅助或替代自由裁量决策的人工智能技术,目的是防止偏见,包括要求企业在使用此类工具对候选人排名或评估员工晋升时进行偏见审计或披露的措施。

人力部部长(陈时亮博士)答复:议长先生,无论使用何种技术工具辅助就业决策,如招聘或晋升,雇主都必须遵守《三方公平就业守则》,该守则促进公平和基于能力的就业实践。

如果某些人工智能(AI)的使用导致歧视性就业行为,员工或求职者可以向三方公平与进步就业联盟(TAFEP)寻求帮助。TAFEP将与雇主合作,解决员工或求职者的申诉,确保雇主的招聘或绩效评估流程遵循公平就业原则。迄今为止,TAFEP尚未收到因使用AI工具而产生的歧视投诉。

我还想提醒大家,AI技术发展迅速。在部署AI驱动的人力资源(HR)工具时,组织应参考政府推出的支持负责任AI开发和使用的指导方针。政府将继续密切监测AI采用趋势,并与我们的三方合作伙伴、人力资源专业人员协会(IHRP)及更广泛的人力资源社区合作,定期评估现有指导方针和法规是否足够。

议长先生:郑先生。

郑德源先生(先锋选区):议长先生,感谢部长的答复。我有一个补充问题,关于在使用AI系统,特别是在人力资源流程中,如何更好地保护员工的数据隐私。

我很高兴部长介绍了《职场公平法案》以及一些措施和三方咨询,但我们能否确保在使用员工数据进行AI驱动的决策(包括晋升、招聘、再就业和裁员)之前,获得员工的同意?

陈时亮博士:感谢议员的补充问题。我们肯定会采纳议员的建议,继续完善流程并加强管理。

正如我之前所说,AI的采用和多种工具的使用正在快速推进。过于严格和详细的法规不仅不切实际,而且鉴于AI产业的发展阶段,我们目前也难以完全跟上。

我认为最好的、细致入微的方法是继续保持明确的负责任AI使用原则,政府已经以模型AI治理框架的形式推出了相关指导。其中一个例子是AI Verify。为了简洁起见,我不打算在此详细讨论。这是由信息通信媒体发展局(IMDA)开发的工具包。如果有议员在后续议会会议中提出相关问题,我很乐意向议员们介绍如何使用它。

对于许多公司可能使用的算法中的数据使用,确保个人相关数据匿名化非常重要。当然,获得同意也是我们关注的重点之一。希望这能让议员放心,我们正在尽一切努力保持领先。

议长先生:陈武明博士,请简短发言。

陈武明博士(裕廊选区):我想请问部长,在他对TAFEP当前关于不公平人力资源行为案件的评估中,大约有多少比例的案件裁决依赖于对招聘经理或公司管理层意图的证明?因为使用AI时,难以确定意图,AI无法像人类一样作证、接受交叉询问或为调查提供信息。

陈时亮博士:感谢陈博士的补充问题。正如我所说,我们正处于AI采用的关键转型阶段。此前我们有一系列讨论,陈博士也提醒我们,如今甚至可以用ChatGPT提起法律诉讼。

因此,当前最重要的是与可能感到受委屈的员工或潜在员工密切合作,及时发现此类案件以便调查。随后,我们会与公司合作,查看某些算法——有时并非出于意图,而可能是公司使用的数据集的功能——是否存在固有偏见,例如在考察某些特征时,从而偏向于基于这些特征的招聘或晋升。

我们需要持续保持警惕,所有相关方共同参与。我们还需要不同机构、人力资源专业人员协会(IHRP)、劳工运动以及三方合作伙伴共同参与。这样,我们才能确保为每个人创造更公平的社会和职场环境。

议长先生:普里坦·辛格先生。

普里坦·辛格先生(亚历山大选区):议长先生,针对部长关于AI的发言,我想通过提问作出回应。不幸的是,从工人角度来看,通常不具备比雇主更优的信息地位,因此他们不知道AI系统在后台进行了哪些筛选或预先资格审查。

在这种情况下,权力总是不平衡的,信息总是对雇主有利,人力部会考虑采取哪些新方法,鼓励员工向TAFEP或人力部其他适当机构提出关切?

陈时亮博士:感谢反对党领袖的提问。我认为重要的是认识到,在当今环境下,员工在选择雇主方面也有一定优势,因为我们劳动力市场非常紧张。因此,我们要实现良好平衡,既要有负责任的员工(他们构成了我们劳动力的多数),也要有负责任的雇主(他们是整个就业生态系统的多数),通过三方合作——与新加坡全国雇主联合会(SNEF)、劳工运动以及其他非政府组织、人力资源专业人员协会(IHRP)等合作——实现良好平衡。我们希望继续保持这一和谐生态系统。

当然,我们不能掉以轻心,必须继续努力推动三方合作,与不同商会合作实现目标。但我想向领袖保证,每一宗投诉和每一个问题都会以非常明确和透明的方式迅速处理。通过建立投诉性质的数据库和资料库,我们将提升保护员工的能力,同时维护雇主的利益平衡。

英文原文

SPRS Hansard 原始记录 · 抓取日期:2026-05-02

3 Mr Patrick Tay Teck Guan asked the Minister for Manpower whether the Ministry will consider introducing guidelines or regulations on employer's use of Automated Employment Decision Tools (AEDT), which are artificial intelligence technologies that substantially assist or replace discretionary decision-making in hiring or promotions, in order to prevent biases and including measures such as requiring companies to conduct a bias audit or to make disclosure where such tools are used to rank candidates or assess employees for promotion.

The Minister for Manpower (Dr Tan See Leng) : Mr Speaker, regardless of the technological tools used to aid employment decisions, such as hiring or promotions, employers must comply with the Tripartite Guidelines on Fair Employment Practices, which promotes fair and merit-based employment practices.

If certain artificial intelligence (AI) use results in discriminatory employment practices, workers or job applicants can approach the Tripartite Alliance for Fair and Progressive Employment Practices (TAFEP) for assistance. TAFEP will work with the employer to address the grievances of the workers or job applicants and ensure that the employer’s recruitment or performance appraisal processes adhere to the principles of fair employment. To date, TAFEP has not received complaints of discrimination arising from the use of AI tools.

I would also like to caution that AI technologies are evolving at a fast pace. In deploying AI-powered human resources (HR) tools, organisations should refer to the guidelines introduced by the Government to support the responsible development and use of AI. The Government will continue to closely monitor the trends in AI adoption and work with our tripartite partners, the Institute for Human Resource Professionals (IHRP) and the broader HR community to regularly assess if existing guidelines and regulations are adequate.

Mr Speaker : Mr Tay.

Mr Patrick Tay Teck Guan (Pioneer) : Mr Speaker, I thank the Minister for his response. Just one supplementary question on how we can better protect workers' data privacy when AI systems are used, especially in HR processes.

I am glad that the Minister has introduced the Workplace Fairness Bill as well as some of the measures and Tripartite Advisories, but can we ensure that workers' consent is obtained before their data is used for AI-driven decisions, including promotions, hiring, re-employment and layoffs?

Dr Tan See Leng : I thank the Member for his supplementary question. We certainly will take the Member's suggestion to continue to improve the processes and to tighten it.

As I have shared earlier on, the adoption of AI, the use of the multiple tools is proceeding at a fairly rapid pace. To be overly prescriptive, to be overly tight in terms of our regulations, I think it would not just be not practical, but I do not think at this particular point in time, given the stage of evolution of the entire AI industry, we can really catch up with them adequately.

I think the best, nuanced approach is to continue to maintain clear responsible use of AI, which the Government has actually introduced in the form of a model AI governance framework. And one particular example is AI Verify. I think for the purpose of the brevity of this discussion, I do not want to go into too much discussion on that part of it. This is a toolkit, which is developed by IMDA. I am happy to walk the Members of the House through at subsequent Parliamentary Sittings if there is another Parliamentary Question filed on that, to talk about how we can use that.

For the use of data in terms of the algorithms that many of these companies may want to use, it is important that the data pertaining to individuals is anonymised. And, of course, consent would really be one of those things that we are looking at as well. So, I hope that gives the Member that reassurance that we are doing everything that we can to stay on top of it.

Mr Speaker : Dr Tan Wu Meng, a short one please.

Dr Tan Wu Meng (Jurong) : Can I ask the Minister, in his assessment of the current landscape of TAFEP cases on unfair HR practices, roughly what proportion of cases did the adjudication hinge on proof of intention by the hiring manager or the company's management? Because with AI, it can be difficult to ascertain intention because the AI is not able to give testimony and be cross-examined or provide information for investigation the way a human can be questioned.

Dr Tan See Leng : I thank Dr Tan for his supplementary question. As I have said, we are at a very pivotal state of transformation and the adoption of AI. If we were having a series of discussions earlier on and Dr Tan himself also brought to our attention that, today, you can actually file a legal suit using ChatGPT.

So, what is fundamentally important for us today is to work closely with employees or with potential employees who may feel that they are aggrieved, to surface such cases to us so that we can investigate. Then, obviously, we will work with the companies to see if some of the algorithms – sometimes, it may not be an intention, it could be a function of the datasets that the company is using – have an inherent bias, for instance, in looking at certain characteristics and, therefore, favour hiring or promotion in favour of those characteristics.

So, we need that constant sense of vigilance, we need the participation of all parties coming together. We also need different agencies, the IHRP, the Labour Movement and we need our tripartite partners to come into the space alongside with us. Then we can ensure a more equitable society and workplace for everyone.

Mr Speaker : Mr Pritam Singh.

Mr Pritam Singh (Aljunied) : Mr Speaker, just a response to the Minister through a question vis-à-vis what he said about AI. Unfortunately, from the worker's perspective, one usually is not in a position of information superiority over the employer, so you do not know what back-end selections or pre-qualifications your AI system has done.

So, in that context, where there is always a power imbalance and there is always information asymmetry in favour of an employer, what new approaches would the Ministry of Manpower (MOM) consider to encourage employees to raise concerns to, say, TAFEP or to any other appropriate authority in MOM?

Dr Tan See Leng : I thank the Leader of the Opposition for his question. I think that it is important to recognise that in today's climate, depending on which aspects that you are looking at, the employee also has certain advantages vis-à-vis choosing the choice of employers that they want to work for, because we do have a very tight labour market. So, it is how we achieve that good balance, of balancing responsible employees who really form the majority of our workforce, alongside responsible employers who are also the majority of our entire job ecosystem, with a very good balance achieved through tripartism – working with the Singapore National Employers' Federation (SNEF), working with the Labour Movement and also getting other non-government organisations, the IHRP and other organisations which have been working alongside with us. We hope that we can continue to maintain this harmonious ecosystem.

Of course, we cannot take things for granted because we continue to work hard at tripartism, at working with the different chambers to achieve this. But I want to reassure the Leader that every single complaint and every single question is dealt with expeditiously in a very clear and transparent manner. And by building a database, a repository of the nature of the different types of complaints, it would sharpen our ability to protect employees better and, at the same time, maintain that balance for employers.