How to make artificial intelligence more human

Artificial intelligence has the power to unite people - if it's built correctly

An artificial intelligence framework for unity

The question is, can innovators put a framework in place to ensure this type of bias is avoided?

At Boss Insights, we argue that companies can build AI with unity in mind. Further, companies that build AI should follow a unity-focused framework. As they develop and iterate on the software, there should be a lens put on the product.

Boss Insights framework for developing inclusive artificial intelligence [Source: Boss Insights]
Boss Insights framework for developing inclusive artificial intelligence [Source: Boss Insights]

For anyone working with AI technology, it’s crucial to think of how the technology will impact people beyond its core usage. This applies to non-technical entrepreneurs as well, since the majority of AI will be trained over time by you, your staff, and your customers; not AI scientists.

As AI founders and developers we created a checklist to keep us on track and listed it in the info-graphic above.

Framework details

  1. Is it connecting people or disconnecting them by insisting on exclusion or exclusivity of one group over another?  Is the AI increasing understanding or leading to alienation?
  2. Does the technology support users goals or biasing them to a specific goal? Am I making balanced and informed decisions to support my own agenda or someone else’s’ agenda?
  3. Is it supporting equality or inequality between people? Does one group gain while another loses or is it a net positive to all applicable groups?
  4. Will the technology offer freedom or oppression? As a user do my options expand or are they increasingly limited?
  5. Is it empowering people or disenfranchising them? Does it help people be who they want and do what they want?

For example, for an AI tool supporting founders and investors, it’s important that the tool benefits both parties.  In the current market, founders and investors are often operating in a power dynamic. Founders are in need of funding and to get it and find the right investor, they are releasing a significant amount of confidential information.  

By the same token, investors are unable to aggregate the information in a real way and rely on their industry experience and manually collected information. An AI tool that purports to support both founders and investors would be required to offer the privacy founders deserve and the aggregate understanding that investors need in order to be able to grow the ecosystem overall.  

The AI tool would also have to be reviewed every step of the way to ensure that the metrics listed above are being achieved both by the models and the results and correct for when biased results are created.

When crafted with end-results in mind, AI can be used as a scalable tool for bridging the gap of opportunity among advisors, capital, and the entire startup ecosystem, by democratizing technology and information.

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