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(GIST OF SCIENCE REPORTER) AI Washing

(AUGUST-2024)

AI Washing

The Global Partnership on Artificial Intelligence (GPAI) Ministerial Council meeting was recently held at Bharat Mandapam, New Delhi in a hybrid mode.

Key Details

The meeting was chaired by the Minister of State Electronics and Information Technology and Commerce & Industry and attended by Jerry Sheehan, Director,

Science Technology & Innovation from OECD and Dr Tawfik Jelassi, Assistant Director General from UNESCO.
A common consensus was reached during the meeting about the future vision of Global Partnership on Artificial Intelligence (GPAI).

AI Washing

It is a phenomenon in which the tech companies and corporations make over-inflated claims about their use of Artificial Intelligence (AI) but in reality are using less sophisticated technology.

Types of AI washing

Companies claiming use of AI when they’re actually using less-sophisticated computing.
Companies overstating the efficacy of their AI over existing techniques.
Companies suggest that their AI solutions are fully operational when they are not.
Companies bolting an AI chatbot into their existing non-AI operating software.

Issues Associated with AI washing

For investors it can make it harder to identify genuinely innovative companies.
AI washing diverts management attention and resources away from practical AI innovation.
AI washing can complicate decision making for businesses that are genuinely looking for valuable AI solutions.
If consumers have unmet expectations from products that claim to offer advanced AI-driven solutions, this can erode trust in start-ups that are doing genuinely ground-breaking work.
Subpar AI technology could pose data security and privacy risks for consumers. This could push consumers away from using the technology.

How to spot AI washing?

Seek out mentions of ‘transparent’ AI, where companies are open about the types of data and algorithms that are involved.
Beware of companies that seem unwilling or unable to describe how their technology works.
Ask the sales representative to explain what steps are taken to avoid bias in their data and algorithms, or AI hallucinations.
Such skepticism is critical for making better and informed decisions regarding the adoption of AI.