In this week’s roundup, learn about what we might expect for artificial intelligence (AI) in President Biden’s administration and how the technology is being used to combat fake news. Discover how AI may be able to learn more quickly by teaching itself and three ways CIOs can use the technology to grow business this year. Finally, explore why the frontline worker’s voice is the most important to listen to in developing AI healthcare technology applications.
By Karen Hao, contributing writer for TechnologyReview.com
Last week, immediately after Joe Biden was sworn into office, he quickly conducted a flurry of executive orders. The main issues are fighting the COVID-19 pandemic, providing financial relief, and reversing many policies on climate change, international relations, and immigration. While AI hasn’t yet made the list, several of his appointments may provide signals about how his administration might treat this technology. Learn who three of these key appointees are.
By Bernard Marr, contributing writer for Forbes.com
Misinformation spreads like wildfire across the internet and social platforms. Companies are using AI to combat that spread by discerning between the truth and fiction. For example, Logically has developed a solution that combines artificial and human intelligence to verify the veracity of news, social discussion, and images through a free app. Learn more about this effort and see what other companies are doing to help the effort.
By Matthew Hutson, contributing writer for ScienceMag.org
Computers don’t get bored or frustrated when a lesson is too easy or hard. But they do much better when the lesson plan is just right for their skill level. So, researchers have done studies that have created AI that can figure out how best to teach itself. This could speed up learning in slow-moving technology (self-driving cars, as previously mentioned) and even crack previously unsolvable math problems. Learn more about the research.
By Joe McKendrick, contributing writer for Forbes.com
There is a slower uptake than expected for AI in some aspects — such as driverless cars — due to unpredictable, infinitely variable environments. Healthcare is another example of this, and has been made apparent by the pandemic. It provides an exemplary proving ground for the ways AI-driven workplaces and processes deliver many benefits. But healthcare and service workers need to be involved in the early stage of design, all the way to the application stage in order to do it right.
By Mike Ruokonen, contributing writer for EnterprisersProject.com
The transition from data collection to AI-driven growth strategy is a multi-step process that can appear overwhelming. The process requires structured strategy planning, training, and execution. Now is the time for CIOs to focus on an AI-based digital transformation plan, and this article highlights key areas to focus on that will make an impact through AI implementation.
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