Artificial Intelligence (AI) hiring tools do not reduce bias or improve diversity, researchers said in a study. The research debunks the popular myth that AI-powered recruitment software and tools can boost diversity of new hires at a workplace. Cambridge University experts who published their findings in the journal Philosophy and Technology said that companies are showing greater interest now to use AI to solve problems like interview and recruitment bias. However, they believe that the application of this AI when it analyses candidates' resumes or video is nothing but "pseudoscience". The study mentioned a 2020 survey of 500 human resource professionals from all over the world.

Headstart, a platform that leverages data science to help companies reduce unconscious bias in the hiring process, has raised $7 million in a seed round of funding led by AI-focused Silicon Valley VC firm FoundersX, with participation from Founders Factory. Launched out of London in 2017, Headstart is one of a growing number of startups promising to help companies increase their diversity during recruitment drives. This is achieved through combining machine learning with myriad data sources to find the best candidates based on specific objective criteria. "The machine -- the algorithms and models -- does this without emotion; fatigue; or overt subjective, conscious, or subconscious opinion or feeling. Unlike a human," Headstart cofounder and chair Nicholas Shekerdemian told VentureBeat.

Attracting top talent is vital within any company or organisation. According to a CareerBuilder survey, 75% of employers admitted to having made a poor hiring decision, resulting in a loss of nearly US$15,000 per bad hire. In today's world, finding the right talent that will stick may seem more difficult than first imagined. Why wait for candidates to come to you when you could find them before you even click on a job ad template? As a recruiter, you could be sourcing your candidates and choosing who you add to your talent pipeline, instead of candidates deciding whether to engage with you.

Headstart, a platform that leverages data science to help companies reduce unconscious bias in the hiring process, has raised $7 million in a seed round of funding led by AI-focused Silicon Valley VC firm FoundersX, with participation from Founders Factory. Founded out of London in 2017, Headstart is one of a growing number of startups that promise to help companies increase their diversity during recruitment drives. This is achieved through combining machine learning with myriad data sources to find the best candidates based on specific objective criteria. "The machine -- the algorithms and models -- does this without emotion, fatigue, or overt subjective, conscious or subconscious opinion or feeling," Headstart cofounder and chairman Nicholas Sherekdemain told VentureBeat. This internal data is reviewed for built-in bias, so if there is a clear leaning toward a specific demographic this can be addressed in subsequent hiring campaigns.

Headstart, a platform that leverages data science to help companies reduce unconscious bias in the hiring process, has raised $7 million in a seed round of funding led by AI-focused Silicon Valley VC firm FoundersX, with participation from Founders Factory. Founded out of London in 2017, Headstart is one of a growing number of startups that promise to help companies increase their diversity during recruitment drives. This is achieved through combining machine learning with myriad data sources to find the best candidates based on specific objective criteria. "The machine -- the algorithms and models -- does this without emotion, fatigue, or overt subjective, conscious or subconscious opinion or feeling," Headstart cofounder and chairman Nicholas Sherekdemain told VentureBeat. This internal data is reviewed for built-in bias, so if there is a clear leaning toward a specific demographic this can be addressed in subsequent hiring campaigns.