OGEA-103 · Question #138
Please read this scenario prior to answering the question You are working as an Enterprise Architect within an Enterprise Architecture (EA) team at a large technology company. The company has…
The correct answer is C. You recommend that a set of standard business models be developed that can be applied to all. The scenario involves stakeholder concerns about AI in legal decision-making, the need for continuous Machine Learning, and the CIO’s emphasis on agility and risk mitigation. The best approach aligns with TOGAF stakeholder management and architecture development principles…
Question
Please read this scenario prior to answering the question You are working as an Enterprise Architect within an Enterprise Architecture (EA) team at a large technology company. The company has multiple divisions worldwide. 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 has a number of management frameworks in use, 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 managing intellectual property, trademarks, and patent disputes. At any one time there are many ongoing lawsuits involving the company. Many of the company’s competitors who are 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 expressed 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 enable the fast implementation of continuous Machine Learning. The solution will need to be constantly measured for delivered value and be quickly iterated to success. Refer to the scenario You have been asked by the EA team leader to recommend an approach that solves the problems mentioned. Based on the TOGAF standard, which of the following is the best answer?
Options
- AYou recommend that the key stakeholders, who are the most powerful and influential staff, be
- BYou recommend that an analysis of the stakeholders is carried out resulting in documentation of
- CYou recommend that a set of standard business models be developed that can be applied to all
- DYou recommend that an analysis is made that separates the various types of stakeholders into
How the community answered
(65 responses)- A32% (21)
- B15% (10)
- C45% (29)
- D8% (5)
Explanation
The scenario involves stakeholder concerns about AI in legal decision-making, the need for continuous Machine Learning, and the CIO’s emphasis on agility and risk mitigation. The best approach aligns with TOGAF stakeholder management and architecture development principles, ensuring that the Enterprise Architecture (EA) addresses risks while supporting iterative AI The recommended approach includes: - Conducting a stakeholder analysis to document key groups, their positions, and concerns. - Defining relevant stakeholder views and concerns in the Architecture Vision document, ensuring alignment with business goals and risk mitigation strategies. - Integrating risk management into the architecture through regular assessments and feedback loops to identify and mitigate bias and decision-making risks. - Implementing a supervised agile approach for continuous Machine Learning, ensuring that AI models evolve iteratively while addressing stakeholder concerns and regulatory compliance. This approach ensures that stakeholder concerns are systematically addressed, while Machine Learning implementation remains agile, adaptive, and risk-aware, aligning with the TOGAF ADM and the CIO’s preference for agility.
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