Employment

Timnit Gebru and Google Timnit Gebru is one of the most high-profile Black women in her field and a powerful voice in the new field of ethical AI, which seeks […]

HireVue claims it uses artificial intelligence to decide who’s best for a job. Outside experts call it “profoundly disturbing.” An article about HireVue’s “AI-driven assessments”. More than 100 employers now […]

Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification – MIT Media Lab Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. In […]

In 2018, Amazon’s use of AI for hiring was discovered to favour male job candidates, because its algorithms had been trained on 10 years’ worth of internal data that heavily […]

This video argues that hiring is largely analogue and broken. This leads to major problems such as inefficiency, ineffectiveness (50% of first-year hires fail), poor candidate experience, and lack of […]

From machine learning tools that optimize job descriptions, to AI-powered psychological assessments of traits like fairness, here’s a look at the strengths – and pitfalls – of AI Commercial AI […]

AI could eliminate unconscious bias and sort through candidates in a fair way. Many current AI tools for recruiting have flaws, but they can be addressed. The beauty of AI […]

AI is now being used to shortlist job applicants in the UK — let’s hope it’s not racist AI-based video interviewing software such as those made by HireVue are being […]

Resume screening is the first hurdle applicants typically face when they apply for a job. Despite the many empirical studies showing bias at the resume‐screening stage, fairness at this funnelling […]

As millions of people flood the jobs market, companies are turning to biased and racist AI to sift through the avalanche of CVs As millions of people flood the jobs […]

Avidbots, iUNU and 6 River Systems are among the start-ups on CNBC’s Upstart 100 list that are putting robots to work doing “dull, dirty and dangerous” tasks previously handled by […]

Accounting giant PwC has come under fire for the development of a facial recognition tool that logs when employees are absent from their computer screens while they work from home. […]

High definition research into employee attitudes Comprehensive report on worker sentiment about the general outlook for the workplace and the long-term prospects for the jobs they’re holding. High levels of […]

Will AI eliminate more jobs than it creates? Experts weigh in on a hot topic that impacts almost every industry. The impact of AI on future jobs.

Artificial intelligence can replace repetitive tasks, but it doesn’t have the empathy to lead. View of an AI expert on human job loss. Provides an anecdotal view from an AI […]

After years of growing income inequality, concerns about technology-driven displacement of jobs, and rising societal discord globally, the combined health and economic shocks of 2020 have put economies into freefall, […]

There is a very low representation of minority ethnic groups in the population of people employed in AI. This is a huge cause for concern since without a diverse set of AI creators, our AI models are bound to be prone to blind spots that bias against and ultimately harm minority ethnic groups.

Computer vision technology have a harder time recognising people with darker skin or from asian background. One main reason for this is that the datasets used by companies to train facial analysis software use mainly white examples and are not truly representative of diversity in society.

AI for recruiting is the application of artificial intelligence (such as machine learning, natural language processing, and sentiment analysis) to the recruitment function. It has the potential to mitigate, but is also likely to amplify bias.

AI has the potential to unlock new jobs – by allowing activities that are dangerous for humans or not even possible today, for example deep sea diving or space exploration.

AI-equipped robots will be able to perform dangerous or repetitive physical tasks, thus creating safer workplaces (e.g., wearable robots that support human strength may prevent musculoskeletal disorders).

AI-assisted automation of tasks will eliminate jobs in an uneven way across ethnic groups, further marginalising groups that are already at risk of lower pay and career advancement.