AstraZeneca data and AI ethics

人力资源劳动力分析-案例研究

“My team piloted an analytics tool aimed at understanding how people collaborate when using various business technologies. This tool provided valuable insight on how working patterns have evolved through the COVID-19 pandemic. We worked with our Data Privacy Office and the Data and AI Ethics principles to drive responsible use of the tool. 这有助于澳门第一赌城在线娱乐继续专注于使澳门在线赌城娱乐成为一个伟大的工作场所.

With the framework, our values, 以及澳门第一赌城在线娱乐心中已有的承诺, 澳门第一赌城在线娱乐确定了以下基本标准:

• Respecting our fellow employees’ privacy and act within reasonable expectations of how we would use their data. 隐私是一项基本权利，尊重隐私一直是重中之重. 幸运的是，该工具只使用汇总数据，而不是个人数据, so privacy is maintained.
• 以有利于澳门第一赌城在线娱乐员工的方式使用这个工具. 由此产生的真知灼见促成了积极的讨论, ideas and potential actions to help maintain our position as a top employer while technology continues to transform the workplace.
• 为分析系统和其生命周期中的每个用例分配责任.
• 维护分析系统使用的数据的持续安全性.

The principles also helped us develop a firm ethical foundation to specifically enable future HR analytics projects.

We will need to draw insights from an increasingly varied set of technologies and data to stay competitive and to provide the best support to our colleagues. 随着预测分析变得越来越普遍，这一点尤其正确. 在这个动态的技术领域, we are optimistic about our AI solutions because of our combined approach: robust privacy and security framework, peoples’ good judgement, 健全的数据和人工智能伦理原则.”

Pedro Nunes，澳门在线赌城娱乐全球商业服务分析主管

与BenevolentAI的科学合作-案例研究

“Our ongoing collaboration with BenevolentAI 澳门在线赌城娱乐是迄今为止最大的人工智能合作项目吗. It presents an exciting opportunity for us to develop novel targeted drugs for two complex diseases with large unmet medical needs- Idiopathic Pulmonary Fibrosis (IPF) and Chronic Kidney Disease (CKD).

为了建立成功的人工智能合作伙伴关系，澳门第一赌城在线娱乐需要共同实施澳门第一赌城在线娱乐的数据和人工智能道德原则. Here’s how we’re doing it:

• Private and Secure: BenevolentAI进行了严格的IT安全审查，以适当地保护所涉及的数据. This resulted in a secure data sharing solution for the research team that shielded access from each company’s internal data & analytics environments. 一些数据集包括基因组数据，这对去识别提出了独特的挑战. 该团队创建了一个新的模型来抽象数据, 确保患者数据的隐私，同时保持其对研究人员的科学效用.
• Explainable & Transparent机器学习模型通常是不可直接解释的. 然而，澳门第一赌城在线娱乐通过潜在类聚类等方法共同询问模型. 这有助于解释人工智能系统使用哪些变量来生成生物预测. 此外，还使用特定的技术来推断数据中的因果关系或可能的因果关系. This enables a more transparent discussion on disease mechanisms than can be achieved through association only. Finally, 专家评审是为进一步实验工作确定预测目标优先次序的一个组成部分, 这有助于澳门第一赌城在线娱乐与疾病区域战略保持一致. Overall, we ensure assumptions are clear, algorithms are documented, 结果在整个过程中都有明确的来源. 
• Fair: The data used for the collaboration stems from a variety of sources ranging from literature to omics datasets, both internal and external. Each dataset was meticulously annotated with relevant metadata to maintain consistent use of data originating from many different sources. Bespoke pre-processing pipelines were also established to normalise quantitative observations and adjust for confounding factors. 
• Accountable:设计了非常清晰的数据访问流程, 需要进行访问数据和知识图的培训. The process is monitored and governed to keep usage in line with the collaboration aims and compliant with consent and privacy policies. 
• 以人为本，对社会有益: The collaboration provides an outstanding opportunity to identify novel targets which will open the doors for treatments for diseases that cause suffering to hundreds of millions of people each year. 通过全面利用可用的数据和信息, 为了病人的利益，澳门第一赌城在线娱乐会做出更好的决定. 

If we satisfy these principles, 澳门第一赌城在线娱乐可以继续推动科学的边界，同时不辜负澳门第一赌城在线娱乐的核心价值观.”

Claus Bendtsen(数据科学执行董事) & Quantitative Biology, AstraZeneca)