- Published on April 11, 2022
- In AI Features
Council Post: Tackling ethical challenges in AI within organisations
The components of ethical AI should be incorporated from the product development stage.
Image by Council Post: Tackling ethical challenges in AI within organisations
- By Aishwarya Srinivasan
As per the state of AI in 2021 report by McKinsey, 56 percent of all respondents reported AI adoption in at least one function in their organisations–a six percent increase from 2020. The adoption rate is highest at Indian companies, followed closely by those in Asia–Pacific region.
Image: McKinsey
AI is changing the game for a lot of companies, however, just like any other technology, it has its downsides. In the last few years, we have seen a rise in concerns about the risks associated with AI. The major challenges include:
Unexplainable modelsRacial profiling and discriminationGender biasModel drift
Latest controversies
In 2021, Meta apologised for recommending users watching a video of black men if they wanted to see more "videos about primates." In 2
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Aishwarya Srinivasan
Aishwarya is an AI & ML Innovation Leader at IBM. She works cross-functionally with the product team, data science team and sales to research AI use-cases for clients by conducting discovery workshops and building assets to showcase the business value of the technology. Aishwarya has founded a nonprofit organisation Illuminate AI that aims to provide mentorship, career guidance, and educational support to thousands in the community. She is also a board member for nonprofit organisations like AI for Good Foundation and AI Education project.
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