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cover of episode Designing a Better Future: Mastercard’s JoAnn Stonier

Designing a Better Future: Mastercard’s JoAnn Stonier

2021/4/27
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Me, Myself, and AI
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JoAnn Stonier
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Sam Ransbotham
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Shervin Khodabandeh
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JoAnn Stonier: 我是Mastercard的首席数据官，我的团队负责确保公司信息资产在应对当前和未来数据风险的同时保持可用性。我们的工作范围很广，包括制定数据战略，管理数据治理和质量，支持人工智能和机器学习的应用，设计和运营企业数据平台，以及确保数据合规性。我们致力于将合规性和负责任的数据实践融入产品设计，从数据来源到产品创建和启用，贯穿始终。我们正在积极探索人工智能在减少偏差和构建包容性未来方面的应用，并与产品研发团队、人力资源团队合作，制定相关策略和技能培养计划，以确保我们的人工智能应用符合道德规范，并能为未来的几代人带来益处。我们关注数据集中固有的偏差，包括缺失信息，并努力设计有效的查询来减少偏差的影响。我们使用特定的框架来处理AI伦理问题，并关注上下文变量。为了应对AI潜在的未知偏差，我们需要理解数据来源、质量和一致性，这对于自行进行分析和评估供应商提供的解决方案都至关重要。在构建AI系统时，我们需要关注模型漂移和不准确的输出，以防止错误结果被放大。平均值有时并不能反映实际情况，因为它可能无法满足特定目的。我们需要转变思维模式，将数据视为非中性的，并考虑其使用目的和潜在危害。尽管处理数据偏差和风险具有挑战性，但看到公司为此付出努力并取得进展是令人兴奋和有益的。我们寻找具备数据技能、技术技能和政策理解能力的员工，并重视跨领域沟通和翻译能力。设计思维帮助我更好地解决业务问题，并从之前的首席隐私官职位过渡到首席数据官职位。911事件后，我重返设计学院学习，这提升了我的商业能力和解决问题的能力。设计思维帮助我将技术挑战转化为设计问题，并找到解决方案。Mastercard数据团队成员通常具备左右脑思维能力，能够在不同领域之间进行转换。疫情加速了数据和数字化在商业中的应用，提升了数据解读和利用能力的需求。 Sam Ransbotham: JoAnn Stonier强调设计思维、情绪谨慎和多方面能力在Mastercard成功应用AI方面的作用。Mastercard并未因AI应用的挑战而改变策略，而是坚持继续推进AI项目，并根据战略重点选择项目。Mastercard注重AI的伦理应用，并将其视为识别和减少偏差的工具。 Shervin Khodabandeh: 需要对数据进行多层次的治理，以确保AI输出的准确性、伦理性和无偏差性。

Deep Dive

Chapters
JoAnn Stonier discusses her role as Chief Data Officer at MasterCard, focusing on ensuring data assets are available while managing current and future data risks.

Shownotes Transcript

JoAnn Stonier can’t deny that her role as chief data officer at Mastercard isn’t easy. Advising the company on the mitigation of current and future risk while guiding her team to think critically about the problems they’re using AI to solve is challenging — but, she says, it’s also fun.

In this episode, JoAnn talks with Sam Ransbotham and Shervin Khodabandeh about the elements of her job that are both demanding and rewarding. She also touches on the skill sets she finds most valuable in her colleagues and shares how her work in interior design helps her reframe technology challenges at work. Read the episode transcript here).

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Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger.

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Guest bio:

JoAnn Stonier serves as chief data officer for Mastercard, leading the organization’s data innovation efforts while navigating current and future data risks. Stonier and her team design and operationalize Mastercard’s global data strategy, ensure governance and data quality, and guide enterprise deployment of cutting-edge data solutions, including advanced analytics and AI and the development of enterprise data platforms.

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