What learning trends are in store for 2023? The coming year will bear witness to some significant changes across the entire business world. Recession poses an ever-constant threat so it's important that businesses equip themselves for the future. On top of it all, businesses are having trouble finding new recruits due to a labor shortage. So 2023 will force businesses to strengthen their current ranks to protect against a shallow recruitment pool.

As Artificial Intelligence (AI) becomes more mainstream, technology companies such as Intel seems to latched on to the trend. Intel plans to launch several initiatives such as'AI for future workforce' and'AI for current workforce' by the end of this year with an aim to build skill-ready workforce, Shweta Khurana, senior director – Asia Pacific and Japan (APJ), government partnerships and initiatives, global government affairs, Intel told FE Education Online. "AI for future workforce will cater to 18 years and above and AI for current workforce is for professionals with primary focus on women driven small and medium enterprises (SMEs)," Khurana said. The programme will be delivered virtually by an Intel certified coach. As per the company, the curriculum designed for AI for future workforce is technical; however; students does not require any prior domain knowledge. Furthermore, projects under the programme are focussed on industrial impacts such as common trade application, predictive maintenance, viral post protection, insurance fraud protection among others.

Numerous studies, including the WEF's 2020 Future of Jobs Report, have documented the ways that the pandemic has exacerbated inequalities in the global workplace. Indeed, unemployment rates for African-Americans and Latinos have consistently outpaced those for Whites by several percentage points, and that trend persists even as Americans begin re-entering the workforce in record numbers. This is because of the way that AI works: algorithms correlate information from a finite data set in order to make predictions about job applicants. If an algorithm's training data consists of the employer's current workforce, it may simply replicate the status quo. This can be problematic if the current workforce is made up predominantly of employees of one race, gender, or age group, because a hiring algorithm may automatically screen out applicants who do not share those same characteristics.

While AI has the potential to eliminate bias in hiring, it can also multiply inequalities exponentially if it is used carelessly. This is because of the way that AI works: algorithms correlate information from a finite data set in order to make predictions about job applicants. An algorithm's predictions are only as sound as the data set on which it relies. If an algorithm's training data consists of the employer's current workforce, it may simply replicate the status quo. This can be problematic if the current workforce is made up predominantly of employees of one race, gender, or age group, because a hiring algorithm may automatically screen out applicants who do not share those same characteristics.

Over the last few years Artificial Intelligence has gradually become more and more prominent in the construction sector, so we thought we'd produce an infographic that looks at the benefits of this new technology, as well as the negative impact it's having on the sector's current workforce. We'll start by highlighting why Artificial Intelligence is being implemented and how it will be applied to the sector where it will hugely benefit risk mitigation, safety and the generative design process. We'll even show you a timeline of when experts believe the average construction site will become human-free. And finally, we'll show you some of the robots that will be taking over! This article was first published here.