3 Components CIOs Need to Create an Ethical AI Framework

Only 20% of companies report having an ethical AI framework in place, and only 35% have plans to improve the governance of AI systems and processes in 2021, according to PwC data. its a problem. No wonder Biden is working on the Artificial Intelligence Rights Act.

I think every CIO needs a responsible AI plan before implementing technology. Companies should not wait for this to be mandatory. It doesn’t matter if the CIO buys or builds technology. AI as a technology is neutral – it is not inherently ethical or immoral. We need processes in place to ensure that ethics are an integral part of AI systems.

AI gives us improved customer service, more personalized shopping experiences and faster hiring of employees — but all of these elements can create unintended consequences, such as racial or gender discrimination.

Consider employment as an example. If AI is not built or implemented with a responsible ethical lens, it could end up doing more harm than good, potentially causing the company to override the candidates.

To prevent such situations, there are three parts to creating a responsible AI framework, regardless of whether CEOs are building AI or installing AI tools from technology vendors.

1. Review AI at every stage

CIOs simply cannot have responsible use of AI as a check mark at the end of a product launch. AI must be explainable, transparent and, if possible, provable throughout its entire lifecycle. These principles must be included right from the time the product is designed. In this way, CIOs can meet ethical principles such as accountability, legality, and fairness, to name a few.

When building or implementing responsible AI, teams should focus on three elements: the type of decisions the AI ​​makes; The potential impact of AI decisions on man and society; And to what extent humans are inside or outside the decision-making circle. By reviewing AI across these three areas, companies can determine the appropriate level of governance and feel more secure in the responsible use of AI. It helps reduce the chance that AI will make decisions that are riddled with potential bias.

Take time to catalog relevant approvals and decisions made about the use of AI along the way as well. This is a key component of creating AI governance and traceability.

2. The catalog of the impact of artificial intelligence on systems

The AI ​​model is not infallible. It changes over time and so can its effect on systems. That’s why it’s important to know what systems AI uses and what systems it affects. These two elements should be closely monitored throughout the life cycle of AI and re-examined. If there is a change in either system, humans must intervene.

AI should not operate entirely outside of human supervision and input. Indeed, it is critical that CEOs take corrective action while they monitor the impact of AI. Many companies today rely on technology, but we remain human-led. Technology – and especially AI – still needs us to step in to make sure that biases aren’t introduced into the system and that its decisions remain fair.

3. Assess who will impact AI and how

The responsible AI framework is all about minimizing the potential harm caused by AI. Therefore, it is impossible to have strong AI governance that does not assess the decision taken or the outcome. Is artificial intelligence a threat to the individual or society? Does it lead to an unethical result?

This can be difficult for CIOs to assess. There are ethical principles that can help guide the use of AI. Governments have also enacted their own regulations to try to control malicious AI. CIOs need to ensure that these different frameworks are taken into account and the impact of AI is closely and regularly monitored.

CIOs who implement AI can see a lot of benefits. However, there are many risks that companies need to analyze, calculate and work to overcome. With the right, responsible and ethical AI framework in place, CIOs can drive business to new heights and assert business, and their employees and customers can trust their use of AI.

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