The three principles of responsible AI - Deepstash
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The Philosophy Of Alan Watts

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The three principles of responsible AI

  1. The whole organization must be engaged with the AI strategy, which involves a total organizational review and potential changes.
  2. All employees need education and training to understand how AI is used in the company so that diverse teams can be created to manage AI design, development, and use. Additionally, employees should understand how the use of AI will impact their work and potentially help them do their jobs.
  3. Responsibility for AI products does not end at the point of sale: Companies must engage in proactive responsible AI audits for all ideas and products before development and deployment.

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Responsible AI and the employee experience

Organizations must recognize the drawbacks that some algorithms bring into the screening and hiring process as a result of the way they are trained, which can have a direct impact on outcomes such as diversity and inclusion. 

  • When it comes to reskilling and retaining employees, AI can ...

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All companies will need to become “AI companies”

All companies will need to become “AI companies”

... so they can leverage the considerable benefits to be gained through greater knowledge of their customers, explore new markets, and counteract new, AI-driven companies that might seek their market share.

To extract the benefits from AI while mitigating the risks, companies must...

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Responsible AI for customers and stakeholders

  • It’s more important than ever that companies develop a strategy around responsible AI and communicate it well to internal and external stakeholders in order to maintain accountability. 
  • Companies should also keep in mind that a one-size-fits-all approach does not always work with eme...

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Responsible AI needs support at the top

To gain traction throughout an organization, support for responsible AI needs to come from its leadership. Unfortunately, many board members and executive teams lack an understanding of AI.

The World Economic Forum created a toolkit for boards to learn about the differ...

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Responsible AI needs support at the top

To gain traction throughout an organization, support for responsible AI needs to come from its leadership. Unfortunately, many board members and executive teams lack an understanding of AI.

The World Economic Forum created a toolkit for boards to learn about the differ...

Responsible AI and the employee experience

Organizations must recognize the drawbacks that some algorithms bring into the screening and hiring process as a result of the way they are trained, which can have a direct impact on outcomes such as diversity and inclusion. 

  • When it comes to reskilling and retaining employees, AI can ...

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The strategy to use depends on which rung you occupy on the ladder.

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