Finessing AI: The Urgency of Predictive Planning and Guardrails
Introduction
As organizations begin to adopt and leverage Artificial Intelligence (AI) applications for a variety of use cases, the need to proactively predict and mitigate risks is more important now than ever. Rachini Ahmadi-Moosavi recently discussed the importance of strategic planning and safeguards to make sure AI implementations are successful and don’t create unforeseen issues for organizations. This article looks at the key points from her discussion and outlines why due diligence and planning are necessary when considering AI applications.
Why is AI so Important?
AI is everywhere, from medical building automation solutions to voice recognition in public announcements and more. AI applied to data can also yield powerful, real-time insights into products and performance. Companies are investing heavily in this technology because of its potential to create opportunities and free up resources. But this technology also can be volatile and generate significant risks if not approached with proper diligence and planning. Understanding the risks associated with AI is essential to avoiding costly mistakes when implementing AI.
The Crucial Role of Planning and Guardrails
Ahmadi-Moosavi emphasizes the importance of predictive planning and guardrails to ensure that AI implementations are successful and don’t create unforeseen issues for organizations. Predictive planning begins with training data that is well-curated and labeled. Curating and labeling data correctly is paramount for organizations to discern between potential positives and negatives and avoid biases. It is also essential to have standardized data models and guardrails to understand the behavior of AI and maintain control. This means having policies in place to manage the ways AI is used in applications, from monitoring to regulators, and examining stakeholders like investors, partners and customers.
Conclusion
Understanding the risks and benefits of AI applications is key to formulating a successful strategy and implementation. Establishing predictive plans and guardrails is essential for ensuring AI implementations don’t create unforeseen issues or controversies. It is important for organizations to remain mindful and use due diligence when considering any AI project and strive to maximize the potential positive results.