QuestionQ79

VerifiedIntroduction to Applying the ADM

You are working as an Enterprise Architect within an Enterprise Architecture (EA) team at a large technology company. The company has multiple divisions around the world.

The company has a mature EA practice and uses the TOGAF standard for its architecture development method. In addition to the EA program, the company uses several management frameworks, including business planning, project/portfolio management, and operations management. The EA program is sponsored by the Chief Information Officer (CIO). The CIO has actively encouraged architecting with agility within the EA department as her preferred approach for projects.

The company has a large in-house legal department that manages intellectual property, trademarks, and patent disputes. At any given time, there are many ongoing lawsuits involving the company. Many of the company’s competitors in a similar position have adopted Artificial Intelligence (AI) tools to support their legal departments.

The CIO has approved a Request for Architecture Work to examine the use of Machine Learning in defining new AI-driven litigation processes and legal assistance for the company.

Many of the legal staff, including the Senior Legal Counsel, have raised concerns about relying on AI for decision-making. Other staff are concerned about possible bias in AI, and about the implications of legal knowledge being retained in AI. The CIO wants to know how these concerns can be addressed, and how risks will be covered by a new architecture enabling AI and Machine Learning.

The CIO has emphasized that the architecture should support the rapid implementation of continuous Machine Learning. The solution will need to be constantly measured for delivered value and quickly iterated to success.

You have been asked by the EA team leader to recommend an approach that addresses the problems mentioned.

Based on the TOGAF standard, which of the following provides the best answer?

Explanation

TOGAF Phase A uses stakeholder analysis to identify stakeholder groups, their positions, concerns, and the views required to address those concerns. The Architecture Vision records the resulting high-level concerns, views, and business requirements. Requirements for AI-risk mitigation, regular assessment and feedback, and a supervised agile continuous-Machine-Learning implementation directly address the stated legal, bias, knowledge-retention, risk, and rapid-iteration constraints.

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