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Ageism

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Ageism

Do you know that?

Are you not inviting someone to an interview because they are too old or too young for the job?

What is the reason for that?

This is due to age discrimination

Ageism says age-related prejudices and discrimination. Ageism is just as institutionalized as racism and sexism, although it is rarely discussed. For example, it is well researched that we assign certain stereotypes to certain age groups (Chan et al., 2012).

So become younger people regarded as more undisciplined and older people as less open to new things. Through this generalization Can people be discriminated against because of their age, even though their individual strengths would have been a good fit for the job.

Women and people of color are even more likely to be discriminated against because of their age.

Sources

  • Chan, W., McCrae, R.R., De Fruyt, F., Jussim, L., Löckenhoff, C.E., De Bolle, M., Costa, P.T., Jr., Sutin, A.R., Realo, A., Allik, J., Nakazato, K., Shimonaka, Y., Hřebíčková, M., Graf, S., Yik, M., Brunner-Scic M., de Figueroa, N.L., Schmidt, V., Ahn, C.-K. Terracciano, A. (2012). Stereotypes of age differences in personality traits: Universal and accurate? Journal of Personality and Social Psychology, 103 (6), 1050-1066.
  • Cole, E., & Hollis-Sawyer, L. (2021). Older Women Who Work: Resilience, Choice, and Change. In JSTOR. American Psychological Association.

Florian Dyballa

CEO, Co-Founder

About Florian

  • Founder & CEO of Aivy — develops innovative ways of personnel diagnostics and is one of the top 10 HR tech founders in Germany (business punk)
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  • Three times honored with the HR Innovation Award and regularly featured in leading business media (WirtschaftsWoche, Handelsblatt and FAZ)
  • As a business psychologist and digital expert, combines well-founded tests with AI for fair opportunities in personnel selection
  • Shares expertise as a sought-after thought leader in the HR tech industry — in podcasts, media, and at key industry events
  • Actively shapes the future of the working world — by combining science and technology for better and fairer personnel decisions
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