Learn more about technologyandthefuture with this collection
Understanding the concept of the self
The importance of living in the present moment
The illusion of control
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 emerging technology; instead, they need to match the right AI solution to the right customers and create business offerings that align with customer needs.
- Startups with responsible AI strategies will be more valuable. The purchase of a responsible AI startup may depend on the startup’s approval of the acquirer’s apprcoach. Investors may refuse to buy stock in companies that don’t have responsible AI. Indeed, there may be an increase in activist investors in this space.
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40 reads
MORE IDEAS ON THIS
The three principles of responsible AI
- The whole organization must be engaged with the AI strategy, which involves a total organizational review and potential changes.
- All employees need education and training to understand how AI is used in the company so that diverse teams can be create...
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83 reads
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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44 reads
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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253 reads
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...
20
85 reads
Related collections
More like this
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 ...
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...
AI and trust
- If an AI is trusted too much, we may get into trouble. For example, the need for a human in driverless cars.
- If we train AI with biased data, then the AI will also be biased.
- AI will lead to job losses, but it will also create many jobs.
AI is created to help...
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