AI Explainability: How to Avoid Rubber-Stamping Recommendations
Many employees aren't equipped to evaluate or question the outputs they receive from AI. This article from MIT Sloan explains the risk of "rubber-stamping" AI outputs without understanding the rationale behind them, and outlines strategies for building explainability into workplace systems. Read the article to learn how your organization can build a culture that embraces AI without surrendering critical thinking. For guidance on making AI a trusted tool, contact COR Concepts.
What is AI explainability?
AI explainability refers to the ability to provide clear and understandable explanations for why an AI system made a certain decision. It is crucial for improving transparency in AI systems, ensuring accountability, and fostering trust among users. The European Union's AI Act, for instance, mandates that high-risk AI systems must be designed to allow effective human oversight and provide clear explanations to individuals affected by AI decisions.
How do explainability and human oversight relate?
Explainability and human oversight are complementary aspects of AI accountability. A significant majority of experts (77%) believe that effective human oversight does not reduce the need for explainability. Instead, both are necessary to ensure that AI systems operate safely and responsibly, as explainability helps human overseers understand AI decisions, thereby enhancing trust and accountability.
What steps can organizations take for effective human oversight?
Organizations can take several steps to enable effective human oversight, including implementing mechanisms for employees to report concerns about AI systems, defining clear criteria for when human oversight is necessary, and educating users about the strengths and limitations of AI. A global survey indicated that end-user education is a key enabler of effective oversight, highlighting the importance of training users to understand AI limitations and biases.
AI Explainability: How to Avoid Rubber-Stamping Recommendations
published by COR Concepts
COR Concepts provides Information Governance, Records Management and Enterprise Content Management (ECM) consulting and training services. The company is built on the belief that any Information, Records or Document Management initiative should be designed to extract the maximum business benefit for the organization.
We bring together Compliance, Risk Management and Operational information requirements in a way that delivers benefits to each one of these diverse business units. Our approach is to use an array of industry standards and best practice methodologies to ensure that each implementation will stand the test of time.
We see information governance and records management as an integral part of any Enterprise Content Management implementation and focus on building a solid platform including a records management policy, records management procedures, file plans and a solid change management infrastructure. Building and implementing governance structures is becoming essential for success and we design structures to ensure that all governance aspects are included.
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