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    This is a courtesy translation. The English version is the legally binding document.

    AI Transparency & Candidate Rights

    Last updated: 2026年2月28日

    Table of Contents

    Table of Contents

    1. Overview

    Vocaid is committed to transparency about how artificial intelligence is used in our platform. This page provides a comprehensive overview of our AI systems, how they generate outputs, their known limitations, and your rights as a user.

    We believe that every person who interacts with AI-powered hiring tools has the right to understand how those tools work and how they may affect decisions about their career.

    2. AI Systems Inventory

    Vocaid uses the following AI systems in its platform. Each system is described with its purpose, the data it processes, and the safeguards in place.

    Voice Interview AI

    Conducts real-time voice-based interviews using natural language processing

    Data Processed

    • •Audio input from microphone
    • •Job description and resume content
    • •Conversation context from current session

    Outputs

    • •Natural language interview questions
    • •Follow-up questions based on responses
    • •Real-time speech-to-text transcription

    Known Limitations

    • •May misunderstand heavy accents or dialects
    • •Transcription accuracy varies with audio quality
    • •Cannot assess physical demonstrations or hands-on skills
    • •Response quality depends on internet connection stability

    Human Oversight

    All AI-generated scores are presented as recommendations. B2B hiring managers retain full decision authority. Candidates may request human review.

    Behavioral Analysis

    Analyzes non-verbal communication signals during video interviews for coaching feedback

    Data Processed

    • •Video frames (sampled, not continuously stored)
    • •Face detection coordinates (not facial recognition)
    • •Gaze direction estimates
    • •Head position and movement patterns

    Outputs

    • •Eye contact consistency percentage
    • •Posture and engagement indicators
    • •Response timing metrics
    • •Gaze tracking heatmap data

    Known Limitations

    • •Accuracy depends on camera quality and lighting
    • •Cannot assess emotional state (emotion recognition is prohibited)
    • •May be less accurate for certain face shapes or skin tones
    • •Requires frontal camera position for reliable results

    Human Oversight

    Behavioral signals are supplementary coaching data only. They are never the sole basis for scoring. Users can opt out entirely and use audio-only mode.

    ATS Resume Scoring

    Analyzes resume content against job descriptions to provide compatibility scoring

    Data Processed

    • •Resume text content
    • •Job description requirements
    • •Industry-standard keyword databases

    Outputs

    • •Overall compatibility score (0-100)
    • •Keyword match analysis
    • •Missing skills identification
    • •Format and structure recommendations

    Known Limitations

    • •Cannot verify claims made in resumes
    • •May undervalue non-traditional career paths
    • •Keyword matching may miss equivalent terminology
    • •Does not assess soft skills or cultural fit

    Human Oversight

    ATS scores are advisory tools for resume improvement. They do not determine interview access or hiring outcomes.

    Liveness Detection

    Verifies that a real person is present during the interview session to prevent fraud

    Data Processed

    • •Video frames during verification
    • •Face detection coordinates
    • •Head movement tracking

    Outputs

    • •Pass/fail liveness verification result
    • •Confidence score (internal use only)

    Known Limitations

    • •May fail in poor lighting conditions
    • •Requires camera access (can be skipped with fallback)
    • •May be less reliable with certain accessories (masks, heavy makeup)

    Human Oversight

    Liveness verification is a binary pass/fail check. Failed verification can be retried or skipped. It does not affect interview scoring.

    3. Scoring Methodology

    Vocaid's interview scoring evaluates candidates across multiple dimensions using AI analysis of their spoken responses. Scores reflect the AI's assessment of demonstrated competencies, not the person's inherent abilities.

    Scoring Dimensions

    • Communication Clarity: How clearly and coherently ideas are expressed
    • Technical Knowledge: Demonstrated understanding of relevant technical concepts
    • Problem-Solving: Approach to analyzing and solving presented challenges
    • Relevance: How well responses address the specific question asked
    • Depth: Level of detail and substantive content in responses

    Scores range from 0 to 100 and represent relative assessments. They should be interpreted as coaching feedback, not absolute measurements. Scores may vary across sessions due to question variation, AI model updates, and response differences.

    4. Bias Prevention

    We are committed to ensuring our AI systems do not discriminate against any individual or group based on protected characteristics including race, gender, age, disability, national origin, or other legally protected categories.

    Our Bias Prevention Measures

    • Regular testing of AI outputs across demographic groups to identify disparate impact
    • Prohibition of emotion recognition in workplace assessment contexts (EU AI Act compliance)
    • Scoring based on content and communication quality, not voice characteristics, accent, or appearance
    • Continuous monitoring of score distributions for statistical anomalies
    • Planned independent bias audit by a qualified third-party auditor (per NYC Local Law 144 requirements)

    If you believe you have experienced bias in AI-generated scores or feedback, please report it to support@vocaid.ai. We investigate all bias reports and take corrective action where warranted.

    5. 情感识别禁令

    Vocaid在其任何AI系统中均不使用情感识别、情感推断或情感计算。此禁令是核心设计原则,而不仅仅是合规措施。

    欧盟AI法案(第5(1)(f)条),自2025年2月2日起生效,明确禁止在工作场所和教育机构中使用推断情感的AI系统,医疗或安全目的除外。Vocaid的行为分析功能仅产生事实性、可观察的输出:

    • 眼神接触一致性百分比(通过相对于摄像头的注视方向测量)
    • 姿势指标(从视频帧检测到的头部位置、肩部对齐)
    • 响应时间指标(问题与回答之间的持续时间)
    • 注视追踪热图数据(视觉注意力方向)

    这些输出描述了可观察的身体行为,并不推断内在情绪状态,如自信、紧张、压力、热情或任何其他情感特征。我们的行为分析与情感识别有本质区别,因为它测量的是一个人做什么,而不是他们感受什么。

    严格禁令

    Vocaid的工程标准禁止任何暗示情感推断的模型输出标签。所有行为分析输出均经过审查,以确保它们仅描述事实观察。违反欧盟AI法案情感识别禁令将面临最高3500万欧元或全球年营业额7%的处罚。

    6. 监管合规

    Vocaid遵守多个司法管辖区的AI监管框架。以下是每项适用法规的具体义务和我们的合规措施。

    欧盟AI法案合规

    Vocaid根据欧盟AI法案(法规(EU) 2024/1689)附件III第4类(就业、工人管理和自雇准入)被归类为高风险AI系统。作为AI驱动的招聘评估工具提供商,我们受第3章第2节要求的约束。

    • 风险管理系统(第9条):我们维护文件化的风险管理系统,在AI系统整个生命周期中识别、评估和缓解风险
    • 数据治理(第10条):训练、验证和测试数据集受数据治理和管理实践的约束,确保质量、代表性和偏见检测
    • 技术文档(第11条):我们维护全面的技术文档,描述我们的AI系统、其功能、局限性和使用的方法论
    • 记录保存(第12条):AI系统操作的自动日志记录使系统行为具有可追溯性
    • 透明度(第13条):此AI透明度页面通过提供有关系统功能和局限性的清晰信息,履行我们的透明度义务
    • 人工监督(第14条):所有AI生成的评分均为建议性质。人力决策者(招聘经理)保留对就业决定的权力。B2B工作流程中内置了覆盖功能。
    • 准确性、鲁棒性和网络安全(第15条):我们实施措施以确保适当水平的准确性、鲁棒性和网络安全
    • 基本权利影响评估(第27条):我们承诺在欧盟市场部署前进行基本权利影响评估

    合规性评估和欧盟数据库注册(第60条)正在进行中,目标完成时间与高风险义务截止日期2026年8月2日一致。欧盟委员会可能将某些提供商的截止日期推迟至2027年12月2日。

    Emotion Recognition

    工作场所AI系统中情感识别的禁令(第5(1)(f)条)自2025年2月2日起生效。Vocaid从未使用过情感识别,并确认完全遵守此禁令。

    科罗拉多州AI法案 (SB 24-205)

    科罗拉多州AI法案于2026年2月1日生效,为高风险AI系统的开发者和部署者建立义务。作为AI招聘评估工具的开发者,Vocaid承认以下义务:

    • 开发者披露:我们向部署者(使用我们平台的雇主)提供文档,描述我们AI系统的预期用途、已知局限性和风险缓解措施
    • 风险管理:我们维护合理的风险管理实践,以应对已知或合理可预见的算法歧视风险
    • 消费者通知:当高风险AI系统做出或实质性影响关于消费者(候选人)的重大决定时,消费者会收到通知
    • 合规声明:我们将在网站上发布声明,概述我们开发的高风险AI系统类型以及我们如何管理算法歧视风险
    • 总检察长合作:我们将配合科罗拉多州总检察长评估合规性,并应要求提供文档

    Vocaid的部署者(雇主)根据科罗拉多州AI法案有独立义务,包括进行影响评估和提供消费者通知。我们通过平台文档和透明度工具支持部署者履行其义务。

    德克萨斯州负责任AI治理法案

    德克萨斯州负责任AI治理法案于2026年1月1日生效,要求在德克萨斯州部署AI系统的公司维护AI治理框架。Vocaid遵守以下要求:

    • AI治理框架:我们维护AI治理实践的内部文档,应德克萨斯州总检察长要求可供查阅
    • 禁止用途:我们的AI系统不鼓励自我伤害、犯罪活动或非法歧视
    • 透明度:我们在招聘评估工具中对AI使用进行明确披露
    • 生物特征数据:我们说明何时为AI处理收集生物特征数据,并根据德克萨斯州法律获得适当同意

    纽约市第144号地方法律 (AEDT)

    Vocaid的AI面试和评分平台根据纽约市第144号地方法律构成自动化就业决策工具 (AEDT)。我们遵守以下要求:

    • 年度偏见审计:我们承诺由合格的第三方审计师进行独立偏见审计,分析按性别、种族/民族和交叉类别的选择率
    • 公开摘要:偏见审计摘要将在每次审计完成后6个月内在我们的网站上公开发布
    • 候选人通知:我们在使用AEDT做出就业决定前至少10个工作日通知候选人,这已在我们的候选人通知系统中实施
    • 数据披露:候选人可以请求有关收集的数据、此类数据的来源以及雇主数据保留政策的信息

    巴西LGPD第20条

    根据巴西《通用数据保护法》(LGPD) 第20条,数据主体有权请求人工审查仅通过自动处理做出的影响其利益的决定,包括画像分析。Vocaid确保:

    • 通过我们AI系统评估的候选人可以通过我们的隐私中心或联系我们的Encarregado (DPO) 请求人工审查自动化决策
    • 我们提供有关自动化决策中使用的标准和程序的透明信息
    • 所有AI评分均作为建议性推荐提供,绝非具有约束力的决定

    墨西哥LFPDPPP(2025年改革)

    2025年墨西哥《联邦私人持有个人数据保护法》的改革为自动化决策引入了新义务。Vocaid遵守以下要求:

    • 自动化决策透明度:我们在候选人评估中使用自动化决策技术时进行披露
    • 人工干预权:数据主体可以请求对产生法律效力或类似重大影响的自动化决策进行人工干预
    • 影响评估:我们承诺对个人数据的自动化处理进行影响评估
    • 增强同意:我们为通过自动化决策处理个人数据获取具体、知情的同意

    哥伦比亚SIC第001/2025号通告

    哥伦比亚工商监管局 (SIC) 发布了第001/2025号通告,涉及生物特征数据处理要求。对于Vocaid在哥伦比亚的运营:

    • 生物特征比例原则:我们确保任何生物特征数据的收集与既定目的成比例,不超过严格必要的范围
    • 目的限制:生物特征数据仅用于面试验证和沟通辅导反馈,而非用于监控或持续监测
    • SIC合规:我们承诺按照哥伦比亚法律要求在RNBD(国家数据库注册)中注册我们的数据库

    7. AI治理框架

    Vocaid维护全面的AI治理框架,涵盖我们在所有运营司法管辖区中AI系统的负责任开发、部署和监控。

    我们的治理实践

    • 风险管理:系统性地识别、评估和缓解与我们AI系统相关的风险,包括偏见、歧视和不准确性风险
    • 偏见测试和监控:定期跨人口统计群体测试AI输出,以识别和解决不均衡影响或不公平偏见模式
    • 持续监控:对已部署的AI系统进行持续监控,检查性能下降、漂移和新出现的偏见
    • 模型版本控制:对所有AI模型更新进行版本控制和文档记录,在部署重大变更前进行影响评估
    • 事件报告:报告、调查和修复AI相关事件的内部流程,包括偏见投诉、准确性问题和系统故障
    • 利益相关方参与:定期与受影响的利益相关方互动,包括候选人、雇主、监管机构和公民社会组织

    我们的AI治理框架旨在随监管环境的发展而演变。我们定期审查和更新我们的实践,以符合欧盟AI法案、科罗拉多州AI法案、德克萨斯州负责任AI治理法案及其他新兴AI法规的新要求。

    8. Candidate AI Rights

    Vocaid recognizes the following rights for all individuals who interact with our AI systems:

    1

    Right to Know

    You have the right to know that AI is being used in your interview process and how it affects your assessment.

    2

    Right to Consent

    You have the right to provide informed consent before biometric data (voice patterns, facial geometry) is processed.

    3

    Right to Opt Out

    You have the right to opt out of video recording and behavioral analysis and use audio-only mode without penalty.

    4

    Right to Human Review

    You have the right to request human review of any AI-generated score or assessment.

    5

    Right to Appeal

    You have the right to contest AI-generated assessments and provide additional context.

    6

    Right to Explanation

    You have the right to receive a meaningful explanation of how your scores were generated.

    7

    Right to Data Access

    You have the right to access all data collected about you and all AI-generated outputs.

    8

    Right to Deletion

    You have the right to request permanent deletion of your interview data, recordings, and AI outputs.

    9

    Right to Non-Discrimination

    You have the right to fair treatment regardless of your race, gender, age, disability, accent, or other personal characteristics.

    10

    Right to Accommodations

    You have the right to request reasonable accommodations for disabilities that may affect AI assessment accuracy.

    6. EU AI Act Compliance (Annex IV)

    In accordance with the European Union AI Act (Regulation 2024/1689), Vocaid provides the following technical documentation for our AI systems classified under the Act. Our systems are designed to comply with transparency obligations for AI systems that interact with natural persons.

    System Information & Intended Purpose

    • Provider: Vocaid, Inc.
    • System Name: Vocaid AI Interview Platform
    • Version: Production (continuously updated)
    • Intended Purpose: AI-powered interview practice, resume scoring, and behavioral communication coaching
    • Intended Users: Job seekers (B2C) and hiring organizations (B2B)
    • EU Representative: Contact support@vocaid.ai for EU representative details
    • Risk Classification: Limited Risk (transparency obligations apply under Article 50)

    Training Data & Model Information

    • Vocaid uses third-party foundation models (Azure OpenAI GPT-4o) — we do not train custom models on user data
    • Resume scoring uses keyword and semantic matching algorithms, not machine learning classifiers
    • Behavioral analysis uses computer vision algorithms for face detection and gaze estimation, not facial recognition
    • No biometric identification or categorization is performed
    • Emotion recognition is explicitly prohibited in our systems (EU AI Act Article 5(1)(f) compliance)

    Risk Management & Mitigation

    Vocaid implements the following measures to mitigate risks associated with AI-assisted assessment:

    • Human oversight: All AI-generated scores are advisory — hiring decisions are always made by humans
    • Bias monitoring: Regular statistical analysis of score distributions across demographic groups
    • Transparency: Full disclosure of AI involvement before any assessment begins
    • Data minimization: Only data necessary for the specific assessment purpose is collected
    • User control: Users can opt out of video/behavioral analysis at any time without penalty
    • Logging: All AI decisions are logged for auditability per Article 12 requirements
    • Incident reporting: Processes in place for reporting serious incidents to relevant authorities

    For the complete technical documentation file or to submit questions regarding EU AI Act compliance, contact support@vocaid.ai. We are committed to full compliance with the Act's requirements as they enter into force.

    7. NYC Local Law 144 Compliance

    New York City Local Law 144 (2021) requires employers and employment agencies that use automated employment decision tools (AEDTs) to conduct annual independent bias audits and provide notice to candidates. Vocaid is committed to compliance with LL144 requirements.

    Applicability & Scope

    • Vocaid's AI interview scoring system qualifies as an AEDT when used by employers to substantially assist or replace discretionary decision-making in hiring
    • LL144 applies to candidates for employment opportunities in New York City
    • For B2C users (personal practice), the tool is advisory only and does not constitute an AEDT
    • For B2B employers using Vocaid to screen candidates, LL144 requirements apply

    Independent Bias Audit

    Vocaid will commission an independent bias audit before deploying our AI scoring for B2B hiring decisions in NYC. The audit will evaluate:

    • Impact ratio: Scoring rates for each race/ethnicity category compared to the most selected category
    • Impact ratio: Scoring rates for each sex category compared to the most selected category
    • Median scores: Comparison of median AI-generated scores across demographic categories
    • Selection rates: Analysis of pass/fail rates across protected categories at various score thresholds
    • Intersectional analysis: Combined race/ethnicity and sex impact ratios where data is sufficient

    Candidate Notice

    In compliance with LL144, Vocaid provides the following notice to candidates evaluated for NYC employment opportunities: An automated employment decision tool (AEDT) will be used in connection with the assessment of your job application. The AEDT evaluates your interview responses for communication clarity, technical knowledge, problem-solving ability, and relevance. You may request an alternative selection process or accommodation by contacting the employer directly or by emailing support@vocaid.ai.

    The bias audit summary will be published on this page once completed. Vocaid retains bias audit results for at least four years as required by law. For questions about LL144 compliance, contact support@vocaid.ai.

    8. Third-Party AI Services

    Vocaid uses the following third-party AI services. We maintain Data Processing Agreements with each provider to ensure your data is handled responsibly.

    • Azure OpenAI Service (Microsoft) — Powers interview conversation, question generation, and performance scoring↗
    • Deepgram — Real-time speech-to-text transcription↗
    • Azure Face API (Microsoft) — Face detection and liveness verification (not facial recognition)↗

    9. Contact Us

    For questions about our AI practices, to exercise your rights, or to report a concern:

    Email: support@vocaid.ai

    We take all AI-related inquiries seriously and aim to respond within 15 business days.