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[Good Business] Human centricity in AI: Putting people before the machine

The decisive question is whether human beings, in their pursuit of AI-powered efficiency, will remain humane

Context & Analysis

For many Philippine companies, the AI conversation is no longer about whether to adopt the technology but how to do it without eroding trust. Banks, telcos, e-commerce platforms, insurers, and business process service firms are already using automation for chatbots, claims handling, credit scoring, inventory forecasting, and customer analytics. The practical risk is that efficiency becomes the only metric. A faster chatbot can still frustrate customers if it cannot escalate sensitive cases; a predictive model can boost sales while quietly excluding small merchants or vulnerable borrowers.

That is where human centricity becomes a business issue, not just an ethical slogan. Filipino consumers are accustomed to personal service in markets, sari-sari stores, and neighborhood banks, even as they embrace mobile payments and online shopping. If AI removes the human touch without replacing it with better outcomes, brands may face complaints, churn, and reputational damage. For employees, the same technology can create pressure to work faster, accept opaque performance targets, or lose roles in customer care, back offices, and data entry.

The regulatory backdrop is still catching up. The Philippines has strong privacy and consumer-protection principles, but AI-specific rules on automated decisions, algorithmic transparency, and labor impact are likely to be shaped case by case. Companies should watch for clearer guidance from data privacy authorities, labor regulators, trade agencies, and securities bodies on when human review is required, how consumers can appeal machine-made decisions, and what disclosures are needed when AI materially affects products or services.

Ultimately, the competitive advantage will belong to firms that treat AI as a tool for judgment, not a substitute for it. Investors and management teams should ask whether human oversight is built into high-stakes decisions, whether workers are trained to collaborate with machines, and whether customers can understand why an outcome happened. If done well, human centricity can become a source of loyalty and resilience.

Analysis by IJE Software — original commentary on the story above.

This is an excerpt. Read the full article at the original source:

Source: rappler.com

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