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Is AI Biased?

Key insights from ISE 2024 - Xchange Live Sessions
Go to the profile of Monisha Devaiah
Monisha Devaiah
Marketing Manager -APAC, AVIXA
Is AI Biased?
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During ISE 2024, at the AVIXA Xchange live booth a Fireside chat with Gill Ferrell, Christopher H., Stacia Pfeiffer, Jessica Sanders was held to discuss the topic - Is AI Biased?
The panel discussed how AI bias originates not only from the hiring practices but also from the development process itself.  One of the panelists cited an instance in collaboration in a hybrid format with both virtual and physical attendees, where the facial recognition system failed to accurately identify individuals in the room. Consequently, online participants couldn't discern who was speaking. This experience, though unsettling, serves as a practical demonstration of how biases in technology development can shape the future of AI. There have also been cases of wrongful detention by law enforcement agencies, due to faulty facial recognition technology.
All these instances underscores the profound implications of biased technology in law enforcement.
Likewise, many known, tech giants have had occurrences of their technology being biased and this has been extensively covered by reputable sources like the BBC and The Guardian, underscoring the inherent problem that major organizations have faced, leading to very public scandals over the past decade.
It's crucial to engage in a serious dialogue about the individuals developing this technology and whether they prioritize diversity, equity, inclusion, and belonging, not only concerning racial identities but also gender identity. The challenges faced by voice recognition technology in accommodating gender transitions further highlight the necessity for inclusive practices during the development phase.

From these examples we realize the importance of addressing bias in AI tools and ensure that we have the appropriate teams in place to identify bias in our data systems and datasets. It's necessary that our industry reflects the diversity of the world. We're facing significant challenges such as unfairness, bias, racism, and prejudice, all of which need urgent attention.
In conclusion, the industry needs to collectively work - be it manufacturers, technologists or users to mitigate and rectify these issues of bias. The panel agreed that the AI technology needs to evolve in harmony with societal values and embrace inclusivity for all. 

What are your thoughts on this topic - Is AI biased? 

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Go to the profile of Monisha Devaiah
Monisha Devaiah (She/Her)
Marketing Manager -APAC, AVIXA

I lead AVIXA’s APAC marketing and communications initiatives, which include member communication, vertical market events, educational programmes and AVIXA’s brand presence at the association’s trade shows in the region. I look forward to making new connections on the Xchange and leverage digital as a medium to offer value to members and support the association’s commitment of being a hub for AV in the region.  https://xchange.avixa.org/users/avixa

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