---
title: A-level algorithm highlights the importance of human-centric AI
description: The A-level algorithmic debacle has demonstrated the importance of a human-centric approach to AI.
---

[Blog](https://blog.cognitionhq.com/blog)

# [A-level algorithm highlights the importance of human-centric AI](https://blog.cognitionhq.com/blog/a-level-algorithm-highlights-the-importance-of-human-centric-ai)

 Written by [Katie Gibbs](https://blog.cognitionhq.com/blog/author/katieemergencehq-com) | Aug 18, 2020 9:21:12 PM

Statistical models often feed on large-scale historical trends and reflect them in data patterns - in this case, the higher performance of typically wealthier schools. New research by UCL's Institute of Education found that 23% of comprehensive school students were under-predicted by the models compared with just 11% of grammar and private school pupils.

The total deference to a standardised algorithm in place of teacher input is an example of how taking the human element out of decision-making can sow confusion and distrust. AI should be overlaid with human expertise to empower people - not disempower them by perpetuating bias.

After the Home Office's [recent decision to scrap their AI tool for visa applications](https://www.theguardian.com/uk-news/2020/aug/04/home-office-to-scrap-racist-algorithm-for-uk-visa-applicants), here is yet another reminder that unless ethical considerations are prioritised in AI implementation, an operational and PR disaster awaits.

The UK government's [eventual U-turn](https://www.bbc.co.uk/news/uk-53810655) should be a warning sign to AI adopters: when ethical oversights are made in the early AI design and build stage, huge operational and reputational costs reveal themselves further down the line.

[View full post](https://blog.cognitionhq.com/blog/a-level-algorithm-highlights-the-importance-of-human-centric-ai)

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