Cloud computing, artificial intelligence and machine learning, technologies are being adopted by people management teams and recruiting organizations in order to provide advance gender equality.
<h3>What is the role of technology in gender equality?</h3>
One of the contentious issues stifling our progress toward sustainable development is the elimination of all aspects of discriminatory practices against women & girls.
This is because to provide equal opportunities for women and girls in education and employment can enhance economic development and growth.
Some key features regarding the role of technology in gender equality are-
- Artificial intelligence (AI) is being employed to eliminate all forms of sexist language in job posting advertisements.
- This is effective since it is extremely easy to use technology to detect and eliminate unconscious bias than it is to rely on human resources.
- Furthermore, AI interfaces can be an excellent way to assess and track worker improvements and objective behavior patterns.
- Furthermore, regardless of gender, machine learning is used to identify suitable candidate and adjust salaries to the difficulties involved of tasks and responsibilities.
In practice, gender-neutral technologies are rare. However, the progress made by innovative technologies must always be recognized because it is one of the quickest ways to achieve SDG 5 - Gender Equality.
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The invention of the "printing press" originally allowed information to travel far past its place of origin.
Johannes Gutenberg who was a goldsmith is normally referred
to as the designer of the printing press. This role to the innovation was
progressive, empowering the large scale printing of books and the quick
dispersal of information all through Europe. The printing press spread inside
quite a few years to more than two hundred urban communities in twelve European
nations.
The problem starts already earlier:wildlife experts can only estimate the number of species in the world generally!
This is the case because there are simply too many species, and it takes time to documents them; because some areas (ocean bottom for example) are very hard to access and because sometimes it's hard to know whether we're talking about a new species or a variation within the same species.
so if we even don't know how many species there are, it's even harder to know how many are endangered.
