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By Lance Eliot, the AI Trends Insider Are there things that we must not know?
This is an age-old question. Some assert that there is the potential for knowledge that ought to not be known.
In other words, there are ideas, concepts, or mental formulations that should we become aware of that knowledge it could be our downfall.
The discovery or invention of some new innovation or way of thinking could be unduly dangerous.

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By AI Trends Staff Advances in the AI behind speech recognition are driving growth in the market, attracting venture capital and funding startups, posing challenges to established players.
The growing acceptance and use of speech recognition devices are driving the market, which according to an estimate by Meticulous Research is expected to reach $26.8 billion globally by 2025, according to a recent account in Analytics Insight .
Better speed and accuracy are among the benefits of the evolving technology.
Dylan Fox, CEO and Founder, AssemblyAI One company in the throes of this new growth, Asse

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By John P.
Desmond, AI Trends Editor Two experiences of how AI developers within the federal government are pursuing AI accountability practices were outlined at the AI World Government event held virtually and in-person this week in Alexandria, Va.
Taka Ariga, chief data scientist and director, US Government Accountability Office Taka Ariga, chief data scientist and director at the US Government Accountability Office, described an AI accountability framework he uses within his agency and plans to make available to others.
And Bryce Goodman, chief strategist for AI and machine learning at the

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By John P.
Desmond, AI Trends Editor AI is more accessible to young people in the workforce who grew up as ‘digital natives’ with Alexa and self-driving cars as part of the landscape, giving them expectations grounded in their experience of what is possible.
That idea set the foundation for a panel discussion at AI World Government on Mindset Needs and Skill Set Myths for AI engineering teams, held this week virtually and in-person in Alexandria, Va.
Dorothy Aronson, CIO and Chief Data Officer, National Science Foundation “People feel that AI is within their grasp because the technology is ava

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By John P.
Desmond, AI Trends Editor Engineers tend to see things in unambiguous terms, which some may call Black and White terms, such as a choice between right or wrong and good and bad. The consideration of ethics in AI is highly nuanced, with vast gray areas, making it challenging for AI software engineers to apply it in their work.
That was a takeaway from a session on the Future of Standards and Ethical AI at the AI World Government conference held in-person and virtually in Alexandria, Va.
this week.

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By Lance Eliot, the AI Trends Insider We already expect that humans to exhibit flashes of brilliance. It might not happen all the time, but the act itself is welcomed and not altogether disturbing when it occurs.
What about when Artificial Intelligence (AI) seems to display an act of novelty? Any such instance is bound to get our attention; questions arise right away.
How did the AI come up with the apparent out-of-the-blue insight or novel indication?
Was it a mistake, or did it fit within the parameters of what the AI was expected to produce?

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By John P.
Desmond, AI Trends Editor More companies are successfully exploiting predictive maintenance systems that combine AI and IoT sensors to collect data that anticipates breakdowns and recommends preventive action before break or machines fail, in a demonstration of an AI use case with proven value.
This growth is reflected in optimistic market forecasts.
The predictive maintenance market is sized at $6.9 billion today and is projected to grow to $28.2 billion by 2026, according to a report from IoT Analytics of Hamburg, Germany.

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By AI Trends Staff While AI in hiring is now widely used for writing job descriptions, screening candidates, and automating interviews, it poses a risk of wide discrimination if not implemented carefully.
Keith Sonderling, Commissioner, US Equal Opportunity Commission That was the message from Keith Sonderling, Commissioner with the US Equal Opportunity Commision, speaking at the AI World Government event held live and virtually in Alexandria, Va., last week.
Sonderling is responsible for enforcing federal laws that prohibit discrimination against job applicants because of race, color, religio
Promise and Perils of Using AI for Hiring: Guard Against Data Bias

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By John P.
Desmond, AI Trends Editor Advancing trustworthy AI and machine learning to mitigate agency risk is a priority for the US Department of Energy (DOE), and identifying best practices for implementing AI at scale is a priority for the US General Services Administration (GSA).
That’s what attendees learned in two sessions at the AI World Government live and virtual event held in Alexandria, Va.
last week.

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By John P.
Desmond, AI Trends Editor The AI stack defined by Carnegie Mellon University is fundamental to the approach being taken by the US Army for its AI development platform efforts, according to Isaac Faber, Chief Data Scientist at the US Army AI Integration Center, speaking at the AI World Government event held in-person and virtually from Alexandria, Va., last week.
Isaac Faber, Chief Data Scientist, US Army AI Integration Center “If we want to move the Army from legacy systems through digital modernization, one of the biggest issues I have found is the difficulty in abstracting away th
Best Practices for Building the AI Development Platform in Government

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