Which of the following would be the least likely step for an organization to take when designing an integrated compliance strategy for responsible Al?

The design of an integrated compliance strategy for responsible AI is a foundational, strategic process. It involves assessing existing compliance structures to ensure integration (A), defining the ethical principles that will guide the program (C), and understanding the impact on stakeholders (D). These steps are essential for creating the strategy's framework. Employing a new software platform (B) is a tactical, operational decision concerned with implementation and tooling. Such a decision would typically be made after the core strategy has been designed and its requirements are understood, not as an initial step in the design process itself.

A. Assessing existing programs is a critical first step for an integrated strategy, as it identifies gaps, overlaps, and points of leverage within current compliance frameworks.
C. Consulting experts on ethical principles is fundamental to the "responsible" aspect of AI, ensuring the strategy is built on a sound ethical foundation.
D. Surveying stakeholders is a core component of responsible AI governance, as it helps identify potential harms, biases, and societal impacts that the strategy must address.

1. NIST AI Risk Management Framework (AI RMF 1.0)

January 2023. The "Govern" function (Section 3.1

p. 16) emphasizes establishing policies

processes

and understanding stakeholder perspectives as foundational to AI risk management. It focuses on strategic governance structures rather than prescribing specific implementation tools. This supports the importance of options A

C

and D as design-phase activities.

2. Floridi

L.

& Cowls

J. (2019). "A Unified Framework of Five Principles for AI in Society." Harvard Data Science Review

1(1). This publication outlines the core ethical principles (e.g.

justice

beneficence) that must be considered when creating governance frameworks for AI

directly supporting the rationale for option C. DOI: https://doi.org/10.1162/99608f92.8cd550d1.

3. Stanford University

Human-Centered AI (HAI)

"Building a National AI Research Resource." This and similar university initiatives emphasize multi-stakeholder engagement and the establishment of ethical principles as prerequisites for responsible AI development and governance

reinforcing the importance of steps C and D in the strategic design phase. (See discussions on governance and societal impact in their publications).

4. The White House

"Blueprint for an AI Bill of Rights

" October 2022. This document highlights principles like "Notice and Explanation" and "Safe and Effective Systems

" which require deep consideration of stakeholder impact and ethical underpinnings (supporting C and D) during the design of any AI governance or compliance program. The focus is on principles and outcomes

not the procurement of specific software.