Responsible AI is emerging as one of the essential parts of cutting-edge technologies such as artificial intelligence to design and deploy AI models with good intentions to empower businesses. It is enabling enterprises to install trust and scale artificial intelligence with the utmost confidence. Responsible AI is becoming critical in 2022 with its four key principles. Let's explore some of the key use cases of Responsible AI to look out for in 2022.

Top Responsible AI uses in 2022

 Accelerating Governance

Artificial intelligence is dynamic with constant improvements and developments. Organizations need their government to function at a rapid speed like this technology. One of the uses of Responsible AI is to boost company governance efficiently and effectively to eliminate errors and risks.

Measurable Work

Responsible AI helps in making the work as measurable as possible. Dealing with responsibility can be subjective at times, so in that case, AI makes sure there are measurable processes in place such as visibility, explainability, and having an auditable technical framework, or having an ethical framework is key.

Enhanced Ethical AI

One of the top Responsible AI uses is the enhancement of Ethical AI in organizations. It helps in creating smart frameworks that can assess and plan for AI models to be fair and ethical towards the goals of company strategies.

More Cultivation of AI Models

Another use of Responsible AI is providing an opportunity to cultivate AI models more to enhance productivity and boost efficiency. Organizations can utilize the principles of Responsible AI to cultivate AI models as per the needs and wants of end-users.

Adopting Bias Testing

More companies will adopt bias testing and eliminate inadequate tools and processes. Responsible AI can be leveraged with these tools focusing on bias assessment with mitigation, especially in non-regulatory use cases.