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法律引领:更快获得客户的人工智能设计技巧.pdf

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1、Leading with Legal:AI Design Tips to Get Customers FasterJordan WolffRE-WORK|AI In Finance SummitApril 19,2024OverviewI.General Framework for Constructing an AI ApplicationII.Part 1-Design Considerations for a B2B AI-powered ApplicationA.Contract PrinciplesB.Pressure PointsIII.Part 2-Design Consider

2、ations for a B2C AI-powered ApplicationA.Terms and ConditionsB.Privacy PolicyIV.Part 3-The Intersection between Business Concerns and Government RegulationA.The AI Bill of RightsB.What does the future look like?Tech Stack for an AI Application1.Application-The actual product that interacts with the

3、end user,utilizing model outputs2.AI Model-The AI model that powers the Application(e.g.,the LLM)3.Data Set-The data upon which the model is trained4.Hardware-The computer processors,servers,etc.that are used to power the above(Note-this should look familiar if you watched the FTCs tech summit in Ja

4、n 2024)Part 1-B2B ContractsQuestion:How do you design a B2B product utilizing artificial intelligence that is“easier”to market to potential customers?Keep the following things in mind:1.You will likely be viewed as a vendor marketing a product that will be providing a service to your customer,so you

5、ll have to get through heavily regulated procurement channels.2.You need to provide a reasonable degree of certainty around a new,rapidly developing technology concerning performance and compliance.3.You need to satisfy potential higher bars to entry in heavily regulated industries(e.g.Finance)4.You

6、 need to exude confidence that you can comply with existing and future laws and regulations.So,how do I actually build an application that meets these requirements?B2B Design Principle#1-The Benefits of Inhouse Development Each subcontractor that you use is going to increase the overall level of ope

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根据《Leading with Legal: AI Design Tips to Get Customers Faster》一文,以下为全文主要内容概括: 1. **AI应用设计框架**:文章提出了构建AI应用的通用框架,包括应用、AI模型、数据集和硬件。 2. **B2B应用设计**: - 内部开发优势:控制操作复杂性,保持透明度。 - 选择合适的分包商:考虑成本和灵活性。 - 合同控制:确保提供的服务和合规性。 - 主题特定关注:遵守相关法律,考虑AI特定问题。 - 风险识别:预防潜在风险,如财务、声誉和伦理风险。 - 地理要求:遵守不同地区的法规和数据隐私要求。 3. **B2C应用设计**: - 条款和条件:简洁、透明,反映用户需求。 - 隐私政策:清晰说明数据收集和使用。 - AI特定考虑:处理数据集、用户提示和其他信息类别。 4. **法律与监管**: - 关注AI权利法案和未来法规,如美国隐私权法案和加州消费者隐私法案。 - 遵循监管机构的指导,如CFPB和FTC的AI相关出版物。
B2B合同设计关键" 隐私政策如何制定?" 了解AI权利法案"
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