一、项目主题
Project Theme
“数字艺术领域 AIGC 伦理风险排查”
"AIGC Ethical Risk Identification "
二、实施目标
Implementation Objectives
能结合真实案例，独立拆解数字艺术领域 AIGC 的四大伦理困境（隐私黑洞、算法偏见、内容所有权、责任归属），明确风险核心。
Combine real cases to independently analyze and disassemble the four major AIGC ethical dilemmas (privacy black hole, algorithmic bias, content ownership, liability attribution) in the digital art field, and clarify the core of risks.
三、实施时长
Implementation Duration
实施时长：2 周（课上2课时指导+课后自主/小组实践）
Implementation Duration: 2 weeks (2 class hours of guidance + after-class independent/group practice)
四、实施流程
Implementation Process
案例选取与风险拆解Phase 1: Case Selection & Risk Disassembly
核心任务
Core Tasks
案例分组选取：以 3-4 人为一组，从以下2类案例中任选1（或自拟真实案例），明确案例背景与涉及的伦理困境类型：
Group Case Selection: Divide into groups of 3-4 students, select 1 case from the following categories (or propose a real case independently), and clarify the case background and type of ethical dilemma involved:
类型 1：隐私风险类（如 “2025 年 AI 肖像画平台数据滥用案”—— 平台未经脱敏使用用户照片训练模型）
Type 1: Privacy Risk (e.g., "2025 AI Portrait Platform Data Misuse Case" — the platform used users’ photos for model training without desensitization)
类型 2：责任归属类（如 “2025 年 AI 虚拟形象侵权案”—— 用户生成明星虚拟形象出售，平台拒绝担责）
Type 2: Liability Attribution (e.g., "2025 AI Virtual Character Infringement Case" — a user generated and sold a celebrity’s virtual character, and the platform refused to take responsibility)
风险点梳理：每组填写《AIGC 伦理风险拆解表》，标注案例中 “受影响主体”（如用户、平台、创作者）、“风险表现”（如隐私泄露、侵权纠纷）及 “潜在危害”（如用户权益受损、行业信任危机）。
Risk Point Carding: Each group fills in the AIGC Ethical Risk Disassembly Form, marking the "affected subjects" (e.g., users, platforms, creators), "risk manifestations" (e.g., privacy leakage, infringement disputes), and "potential harms" (e.g., damage to users’ rights, industry trust crisis) in the case.
实施主题（Implementation Theme）
“AIGC 数字艺术的法治合规实践
Legal Compliance Practice of AIGC Digital Art
核心任务（Core Tasks）
1.法规与困境拆解：
Regulation & Dilemma Analysis:
教师讲解核心法规（《生成式人工智能服务管理暂行办法》《人工智能生成合成内容标识办法》）及 “数据合规、内容安全、伦理责任” 三重困境，结合 “火山小视频算法整改案”“AI 人脸训练侵权案” 具象化风险。
The teacher explains regulations (Interim Measures for the Management of Generative Artificial Intelligence Services, Measures for the Identification of AI-Generated Synthetic Content) and the three dilemmas ("data compliance, content security, ethical responsibility") in the script, and visualizes risks with cases such as "Huoshan Short Video Algorithm Rectification Case" and "AI Facial Training Infringement Case".
学生分组完成《AIGC 数字艺术法规梳理表》，标注 “法规名称→核心条款→对应困境”（如《个人信息保护法》第 13 条→数据合规风险）。
Students work in groups to complete the AIGC Digital Art Regulation Carding Form, marking "regulation name → core clause → corresponding dilemma" (e.g., Article 13 of Personal Information Protection Law → data compliance risk).
2.典型案例研讨：
Typical Case Discussion:
聚焦 “2025 武汉王某 AI 版权案”，分组分析 “创意溯源（提示词指令）”“结果独创（构图差异）” 对版权判定的影响，，撰写 500 字（中文）案例分析摘要。
Focus on the "2025 Wuhan Wang’s AI Copyright Case", analyze the impact of "creative traceability (prompt instructions)" and "result originality (composition differences)" on copyright determination in groups, and write a 500-character (Chinese) case analysis summary based on the "two-step method" standard in the script.
3.案例复盘与能力考核
Phase 3: Result Output – Case Review & Ability Assessment
核心任务（Core Tasks）
复杂案例复盘：
Complex Case Review:
教师提供 “2025 某工作室 AI 京剧脸谱侵权案”，小组需：定位涉及的 2 类法治困境；形成《案例复盘报告》。
The teacher provides the "2025 AI Peking Opera Facial Makeup Infringement Case of a Studio"), and groups need to: locate 2 types of legal dilemmas involved; form the Case Review Report.
