China and India are in Frontline to Trust on AI Systems

Artificial intelligence has become a part of everyday life. The rise of ChatGPT and the development pace of conversational and generative AI models are placing the underlying technology in the hands of the public.

The current scenario with AI is that large language models can guess the next fitting word in a sentence based on the corpus of content they were fed; AI experts and researchers are now urging them to slow down the training. Developing models are more capable than OpenAI's GPT-4. Reports say the company's current language model is available in a limited capacity for ChatGPT Pus members, and very soon, it will be integrated into Microsoft productivity and security.

According to eminent influential figures like Stability AI CEO Emad Mostaque and Elon Musk, powerful AI should be built once we are confident in handling and their effects will be positive and risks manageable.

KPMG Australia and the University of Queensland conducted a survey; the data shows residents of China, India, South Africa, and Brazil are less critical about the continued implementation of AI systems. According to the reports, Indians trust in AI is 75 percent, 67 percent of Chinese, and 57 percent of South Africans would trust AI. The respondents of these countries claimed to trust AI mostly in healthcare and security.

Trust in AI is Correlated with Perceived Understanding; both are higher in Emerging Countries than in High-Income Countries

Aarti Dhapte
Aarti Dhapte
AVP - Research
A consulting professional focused on helping businesses navigate complex markets through structured research and strategic insights. I partner with clients to solve high-impact business problems across market entry strategy, competitive intelligence, and opportunity assessment. Over the course of my experience, I have led and contributed to 100+ market research and consulting engagements, delivering insights across multiple industries and geographies, and supporting strategic decisions linked to $500M+ market opportunities. My core expertise lies in building robust market sizing, forecasting, and commercial models (top-down and bottom-up), alongside deep-dive competitive and industry analysis. I have played a key role in shaping go-to-market strategies, investment cases, and growth roadmaps, enabling clients to make confident, data-backed decisions in dynamic markets.
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