“It’s not the AI technologies that fail; it’s the organization.” That might be a somewhat controversial viewpoint, but it emphasizes an important truth: Artificial Intelligence (AI) is a tool, not a living entity (apologies to movie enthusiasts) that will do what it is instructed and trained to do, thanks to the AI Utility Function. To… Read More »Critical Importance of Stakeholder-centric Design with AI

Deciphering the Role of Organizations in AI Failures

The central point in the text is that AI technologies mostly do not fail on their own, but rather, it’s the organization or the entity deploying the technology that fails. This might be a polemic viewpoint to many, but it brings to light a significant truth: Artificial Intelligence is a tool, not a sentient being, and it functions based on the training and instructions it is given. One of the crucial factors ensuring the success or failure of AI applications is the AI Utility Function.

Stakeholder-centric Design in AI

Given AI’s dependence on the organization’s training, the importance of stakeholder-centric design with AI comes into the picture. The perspective, knowledge, and experiences of those who will be using the technology – the stakeholders – must be factored into its design and application.

This approach ensures that the technology developed aligns with the actual needs of its users, thereby increasing its chances of adoption and success.

Long-term implications of AI and stakeholder-centric design

The viewpoint raises some long-term implications:

  1. Firstly, it emphasizes the need for comprehensive training and maintenance of AI applications within an organization. This involves continuous adjustments and checks to ensure that it aligns with organizational goals.
  2. Secondly, it underscores the importance of stakeholder input in designing and developing AI applications. This is crucial to ensure the technology is user-friendly and meets the requirements of its users.

Possible Future Developments

As more organizations adopt AI, it is becoming increasingly evident that the design process of this technology must be user-centric. In the future, we may see more design strategies that are heavily influenced by the experiences and requirements of stakeholders. This will likely result in more customized AI applications that precisely meet the needs of each organization and its stakeholders.

Actionable Advice

  • Train your team and equip them with appropriate skills to handle AI technologies within your organization. Understand the roles and responsibilities of your AI technologies and align them with organizational goals
  • Design your AI technology with the end-users in mind. Take their feedback and experiences into consideration during the design and development process to ensure maximum usability and adoption.
  • Regularly monitor your AI applications for emerging issues and take appropriate action to correct them. This will help maintain their functionality and ensure they continue to meet organizational goals.

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