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Deterring age discrimination. Count those mature hires ‘in’!

To find out how to interpret bias in recruitment, we also have a great eBook on inclusive hiring.


Once upon a time we were all happily employed and worked in our jobs until we reached the age of 65. Then we retired with a gold watch and lived happily ever after. 

While that’s not quite the way it really happened, the reality is aging workers are faced with a very different story today. While the ability to ‘retire’ seems to move further out of reach, many people are faced with the challenges of needing to work longer.

And perhaps the greatest challenge to that need is age discrimination in hiring.

Ageism – a hiring challenge for our age

A 2020 report conducted by LinkedIn found that nearly half of the baby boomers engaged in their survey believed that their age was the main reason their job applications had been rejected by an employer. 

Earlier, a 2015 survey by the Australian Human Rights Commission found that 27 per cent of older people had recently experienced or witnessed age discrimination in the workplace, most often during the hiring process.

And when they say ‘older’ they’re referring to candidates aged over the age of 50.

When you think that many of those will need to work for a further 20 years, their classification as older workers seems discriminatory in itself.

While ‘ageism’ tends to be more of a problem for older workers – shouldn’t we be calling them more experienced workers? Age discrimination can also affect younger workers.  Employers might discriminate against younger job seekers, for example, because they believe they won’t be committed to the role or will move on to another job quickly.

Learned versus lived

Over the past 20-25 years, the number of post-graduates achieving master’s degrees has almost doubled.

But does a potentially over-qualified ‘green’ hire necessarily trump the experience that an older employee has gained through the university of life and years working in a role?

What ‘qualifications’ have they earned and learned that formal education could never provide?

What is age discrimination in hiring?

A textbook definition of age discrimination from the website of Shine Lawyers is “where a person is treated less favourably than another person of a different age in circumstances that are the same or not materially different. The person may be treated differently due to their actual age, or due to a characteristic that pertains or is imputed to pertain to persons of that age. Further, age discrimination can occur when an employer places conditions, requirements or practices that are not reasonable and have the effect of disadvantaging a person or persons of a certain age.”

While in Australia employment laws are in place to protect employees from all forms of discrimination at all stages of employment –  from recruitment through to redundancy or retirement – age discrimination can creep in at any time. It can happen when decisions are being made about:

  • who gets shortlisted for interviews
  • who gets selected for a role
  • what benefits, terms and conditions are offered with that role
  • who is offered training opportunities 
  • who is considered and chosen for promotion, transfer, retrenchment or dismissal.

There are four main types of age discrimination

1. Direct discrimination in hiring

Direct discrimination is when someone is treated differently or less favourably than another person in the same situation because of their age.

For example:

  • Someone reviewing CVs refuses to even consider any candidate over 45 years of age.
  • A hirer believes older workers are slower and resistant to or incapable of adapting to new technologies.
  • Someone is marked for redundancy because they are the oldest – or youngest – employee.
  • An employer decides an employee is too old to undertake skills training while other, younger employees complete the training.

2. Indirect discrimination in hiring

Indirect discrimination can be less obvious than direct discrimination. It describes the situation where an organisation has a particular policy, job requirements or way of working that would appear to apply to everyone but which puts a person or group of people at a disadvantage because of their age.

For example:

  • An employer has a policy that only people with postgraduate qualifications can be promoted. This could be seen to disadvantage young people who simply haven’t had the time to achieve post-grad qualifications. Or an older worker who didn’t go to university because ‘in those days’  it wasn’t commonplace to do so. 
  • A company requires all employees to meet a physical fitness test, even though that fitness standard is not relevant to the job. While the test might be easy for young people, it could be seen to disadvantage older employees.
  • An employer assumes that older people won’t fit in with the team due to their age

3. Harassment

This is when discrimination crosses a line to become dangerous – for those being discriminated against, of course, but also for the employer that risks potential criminal charges and reputational damage. Harassment happens when employers, managers or colleagues make people feel humiliated, offended or degraded.

For example:

  • An older employee having difficulty learning a new online time management system becomes the subject of ongoing ridicule in staff meetings. This could be held up as age discrimination.
  • An older worker is nicknamed Granny Joan.

4. Victimisation

A step up from harassment, victimisation is when individuals are treated poorly because they have made a formal complaint about age discrimination and the way they have been harassed, overlooked for promotion or otherwise discriminated against. Colleagues or co-workers who have also supported someone in their discrimination complaint may also be victimised by their managers or employers.

What the law says about age discrimination

In a range of global jurisdictions including the US, the EU, UK and in nations across Asia-Pacific such as New Zealand and Australia, discrimination laws are designed to protect all people from age discrimination in many areas of life – getting an education, accessing services, renting a property, accessing and using public facilities… and protecting people from discrimination at work.

The laws cover all sorts of employers and employees across private sector and government, charities and associations and all part-time, full time or casual workers and contractors.

Age discrimination in the workplace can be damaging and costly on so many levels. Here’s what employers need to know and do

Taking positive steps to address age discrimination can help organisations attract, motivate and retain good staff while building your reputation and brand as an equal opportunity employer.

Starting with legal obligations, there are a few key areas that employers and recruiters should address to minimise age discrimination:

  • Know the law and stick to it – Just as there are laws that cover discrimination around sex, race or disability, the Age Discrimination Act (the ADA) says that an employer must take ‘all reasonable steps’ to prevent discrimination from happening at work or in connection with a person’s employment. This is called ‘vicarious liability’. 
  • Develop an anti-age discrimination policy – While any organisation’s employment policy will be shaped by the relevant employment and discrimination laws, it’s essential that the ‘laws of the land’ are enshrined in your own policies and practices. Written policies make it clear for all stakeholders that discrimination and harassment– age-based or otherwise – will not be tolerated in your workplace. These policies should be made familiar to all employees, contractors, recruiters and partners. They may also be part of your employer brand and be explicitly stated in your recruitment advertising.
  • Cultivate diversity – The benefits of diversity in the workplace are well recognised in contemporary business. Having a workforce comprised of employees of different gender, cultural and ethnic backgrounds, experience and education have been shown to positively impact a wide range of business metrics from productivity to sales, innovation to employee satisfaction and tenure. Often overlooked in the assessment of diversity is the value that having employees of every age bring to the organisation.
  • Challenge and change attitudes – Like all forms of discrimination, ageism is often driven by inaccurate stereotyping, misperceptions, myths and unconscious bias. A number of studies have shown that developing intergenerational teams explodes preconceptions and the beliefs around ageing or the abilities of the young. The more younger and older people work together the more their perceptions of each other are moderated and negative attitudes are softened.

Making recruitment practices and process fair for all

Perhaps the most important place to tackle age discrimination head-on is where it potentially begins and ends – in the recruitment process.

Remove age discrimination from candidate screening 

The ultimate goal in overcoming discrimination in the workplace is to build a culture that thrives on diversity and a team that values the benefits diversity brings. 

Sapia helps organisations start where they intend to finish by removing the potential for a wide range of biases – including age discrimination – from top-of-funnel interview screening. 

Our Artificial Intelligence enabled chat interview platform offers blind screening at its best. It solves bias by screening and evaluating candidates with a simple open, transparent interview via an automated text conversation.  Candidates know text and trust text and questions can be tailored to suit the requirements of the role and the organisation’s brand values.

People are more than their CV and their age. Candidates tell us they appreciate the opportunity to tell their story in their own words, in their own time.  In fact, Sapia only conversational interview platform with 99% candidate satisfaction feedback.

Sapia offers blind screening at its best

Unlike other pre-employment assessments, Sapia has no video hookups, visual content or voice data. No CVs and no data extracted from social channels. All of which can be triggers for discrimination and bias – unconscious or otherwise.  

Sapia’s solution is designed to provide every candidate with a great experience that respects and recognises them as the individual they are. It won’t know (or care) whether a candidate is 18 or 58, male or female, tall or short, Asian or Caucasian. What it will know is whether a person is a right fit for your organisation.

Here’s an example of how Ai is a fairer judge, regardless of age

This case study graph demonstrates the effectiveness of Sapia’s platform in removing age bias from the candidate shortlisting process. While Sapia specifically excludes age data from the screening process, the data listed here was extracted from the client’s ATS after the hiring process was complete to check for any bias. This data comes from HIRED people, hence the high YES rate.

The left-hand column shows the number of applicants sorted by age groupings. In this sample, there are ±500 people over 50 – a group that often reports age discrimination.

The middle column shows the percentage of people in each group who were allocated a green for go ‘yes’ recommendation for the role, an amber ‘maybe’ or a red ‘no’.

The predictive model (and corresponding Sapia scores) reveals no age bias in the process  – with an equal percentage of candidates receiving a ‘yes’ recommendation in the over 60s as the under 20s. Without blind screening, and without the removal of age bias, the value and brilliance of the older candidates might otherwise have been easy to overlook or, at worse, wilfully disregarded or ignored.

 

Check your bias, Check your process

While Sapia offers one of the easiest ways to provide a level playing field for all candidates, it’s one part of your overall process that should be reviewed to check for built-in age discrimination and other biases as well. Some other important considerations:

  • review selection criteria – ensure your documented criteria for a role are consistent with the ‘essentials’ of the role, the qualifications and skills actually required, not based on stereotypes or arbitrary traits. Check you’re not making assumptions that it’s a young person’s role.
  • review job listings –  at a minimum, you need to be sure that job descriptions are compliant with employment and discrimination law. Advertising for a “25-30-year-old woman”, for instance, is discriminatory. Twice.
  • add diversity to your candidate sourcing – make a virtue of your inclusive and diverse hiring policies by explicitly mentioning them in your job ads. Consider where your recruitment ads are being seen. There may be better places to connect with candidates that will help support your organisation’s diversity goals.
  • check your hiring processes – review application forms, screening factors,  ATS filters, onboarding and workplace culture, to see that age discrimination (amongst others) isn’t unintentionally embedded in your processes and your collective workplace thinking.

Have you seen the Inclusive e-Book?

It offers a pathway to fairer hiring in 2021 so that you can get diversity and inclusion right while hiring on time and on budget.

In this Inclusivity e-Book, you’ll learn: 

  • How to design an inclusive recruitment path. From discovery to offer and validation of the process.
  • The hidden inclusion challenges that are holding your organisation back.
  • How to tell if Ai technology is ethical.

Download Inclusivity Hiring e-Book Here >

Find out how Sapia can help take age discrimination and other biases out of the equation in screening interviews. 


Blog

The AGC Debate: Are AI-Written Interview Answers a Red Flag or Smart Strategy?

Every day, we read stories of increased fake or AI-assisted applications. Tools like LazyApply are just one of many flooding the market, driving up applicant volumes to never-before-seen levels. 

As an overwhelmed hiring function, how do you find the needle in the haystack without using an army of recruiters to filter through the maze?

At Sapia.ai, we help global enterprises do just that. Many of the world’s most trusted brands, such as Qantas Group, have relied on our hiring platform as a co-pilot for better hiring since 2020. 

Our Chat Interview has given millions of candidates a voice they wouldn’t have had – enabling them to share in their own words why they’re the best fit for the role. To find the people who belong with their brands, our customers must trust that their candidates represent themselves. Thus, they want to trust that our AI is analysing real human answers—not answers from a machine.  

The Rise of GPT 

When ChatGPT went viral in November 2022, we immediately adopted a defensive strategy. We had long been flagging plagiarised candidate responses, but then, we needed to act fast to flag responses using artificially generated content (‘AGC’). 

Many companies were in the same position, but Sapia.ai was the only company with a large proprietary data set of interview answers that pre-dated GPT and similar tools: 2.5 billion words written by real humans. 

That data enabled us to build a world-first:- an LLM-based AGC detector for text-based interviews, recently upgraded to v2.0 with 99% accuracy and a false positive rate of 1%. An NLP classification model built on Sapia.ai proprietary data that operates across all Sapia.ai chat interviews.

Full Transparency with Candidates

Because we value candidate trust as much as customer trust, we wanted to be transparent with candidates about our ability to detect artificially generated content (AGC). As an LLM, we could identify AGC in real time and warn candidates that we had detected it. 

This has had a powerful impact on candidate behaviour. Since our AGC detector went live, we have seen that the real-time flagging acts as a real-time disincentive to use tools like ChatGPT to generate interview responses. 

The detector generates a warning if 3 or more answers are flagged as having artificially generated content. The Sapia.ai Chat Interview uses 5 open-ended interview questions for volume hiring roles, such as retail, contact centre, and customer service, and 6 questions for professional roles, such as engineers, data scientists, graduates, etc.

Let’s Take a Closer Look at the Data… 

We see that using our AGC detector LLM to communicate live with candidates in the interview flow when artificial content has been detected has a positive effect on deterring candidates from using AI tools to generate their answers. 

The rate of AGC use declines from 1 question flagged to 5 questions – raising the flag on one question is generally enough to deter candidates from trying again. 

The graph below shows the number of candidates, from a total of almost 2.7m, that used artificially generated content in their answers.  

Differences in AGC Usage Rate by Groups 

We see no meaningful differences in candidate behaviour based on the job they are applying for or based on geography.

However, we have found differences by gender and ethnicity – for example, men use artificially generated content more than women. The graph below shows the overall completion ratios by gender – for all interviews on the left and for interviews where the number of questions with AGC detected is 5 or more on the right. 

Perception of Artificially Generated Content by Hirers. 

We’re curious to understand how hirers perceive the use of these tools to assist candidates in a written interview. The creation of the detector was based on the majority of Sapia.ai customers wanting transparency & explainability around the use of these tools by candidates, often because they want to ensure that candidates are using their own words to complete their interviews and they want to avoid wasting time progressing candidates who are not as capable as their chat interview suggests.  

However, some of our customers feel that it’s a positive reflection of the candidate, showing that they are using the tools available to them to put their best foot forward. 

It’s a mix of perspectives. 

Our detector labels it as the use of artificially generated content. It’s up to our customers how they use that information in their decision-making processes. 

This concept of having a human in the loop is one of the key dimensions of ethical AI, and we ensure that it is used in every AI-related hiring product we build. 

Interested in the science behind it all? Download our published research on developing the AGC detector 👇

Research Paper Download: AI Generated Content in Online Text-based Structured Interviews

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Joe & the Juice Partners with Sapia.ai, Scaling an Exceptional Candidate Experience and Cutting Time to Hire

Read the full press release about the partnership here.

Joe & the Juice, the trailblazing global juice bar and coffee concept, is renowned for its vibrant culture and commitment to cultivating talent. With humble roots from one store in Copenhagen, now with a presence in 17 markets, Joe & The Juice has built a culture that fosters growth and celebrates individuality.

But, as their footprint expands, so does the challenge of finding and hiring the right talent to embody their unique culture. With over 300,000 applications annually, the traditional hiring process using CVs was falling short – leaving candidates waiting and creating inefficiencies for the recruitment team. To address this, Joe & The Juice turned to Sapia.ai, a pioneer in ethical AI hiring solutions.

A Fresh Approach to Hiring

Through this partnership, Joe & The Juice has transformed its hiring process into an inclusive, efficient, and brand-aligned experience. Instead of faceless CVs, candidates now engage in an innovative chat-based interview that reflects the brand’s energy and ethos. Available in multiple languages, the AI-driven interview screens for alignment with the “Juicer DNA” and the brand’s core values, ensuring that every candidate feels seen and valued.

Candidates receive an engaging and fair interview experience as well as personality insights and coaching tips as part of their journey. In fact, 93% of candidates have found these insights useful, helping to deliver a world-class experience to candidates who are also potential guests of the brand.

“Every candidate interaction reflects our brand,” Sebastian Jeppesen, Global Head of Recruitment, shared. “Sapia.ai makes our recruitment process fair, enriching, and culture-driven.”

Results That Matter

For Joe & The Juice, the collaboration has yielded impressive results:

  • 33% Reduction in Screening Time: Pre-vetted shortlists from Sapia.ai’s platform ensure that recruiters can focus on top candidates, getting them behind the bar faster.

  • Improved Candidate Satisfaction: With a 9/10 satisfaction score from over 55,000 interviews, candidates appreciate the fairness and transparency of the process.

  • Bias-Free Hiring: By eliminating CVs and integrating blind AI that prioritizes fairness, Joe & The Juice ensures their hiring reflects the diverse communities they serve.

Frederik Rosenstand, Group Director of People & Development at Joe & The Juice, highlighted the transformative impact: “Our juicers are our future leaders, so using ethical AI to find the people who belong at Joe is critical to our long-term success. And now we do that with a fair, unbiased experience that aligns directly with our brand.”

Trailblazing for the hospitality industry

In an industry so wholly centred on people, Joe & the Juice is paving the way for similar brands to adopt technology that enables inclusive, human-first experiences that can reflect a brand’s core values. 

If you’re curious about how Sapia.ai can transform your hiring process, check out our full case study on Joe & The Juice here.

 

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Sapia.ai Wrapped 2024

It’s been a year of Big Moves at Sapia.ai. From welcoming groundbreaking brands to achieving incredible milestones in our product innovation and scale, we’re pushing the boundaries of what’s possible in hiring.

And we’re just getting started 🚀

Take a look at the highlights of 2024 

All-in-one hiring platform
This year, with the addition of Live Interview, we’re proud to say our platform now covers screening, assessing and scheduling.
It’s an all-in-one volume hiring platform that enables our customers to deliver a world-leading experience from application through to offer.

Supercharging hiring efficiency
Every 15 seconds, a candidate is interviewed with Sapia.ai.
This year, we’ve saved hiring managers and recruiters hours of precious time that can now be used for higher-value tasks. 

See why our users love us 

Giving candidates the best experience
Our platform allows candidates to be their best selves, so our customers can find the people that truly belong with them. They’re proud to use a technology that’s changing hiring, for good.

Share the candidate love

Leading the way in AI for hiring 

We’ve continued to push the boundaries in leveraging ethical AI for hiring, with new products on the way for Coaching, Internal Mobility & Interview Builders. 

Join us in celebrating an incredible 2024

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