A Computer Engineer’s Vision of Technology in Service of Humanity

Weiming is a 24-year-old computer engineering graduate living with his parents in Singapore. His father works in the engineering industry; his mother is a homemaker. In his daily life, he uses Google Home regularly — asking it to play music, set alarms and reminders, and check the weather. His understanding of AI and robots is self-assessed as slightly above average compared to the general public, and his outlook is shaped by both technical knowledge and a genuine belief in technology’s capacity to improve people’s lives.

I hope to be able to improve the world around us through technology — to be someone creating new tech products.

Society in 2050: Technology Solving Today’s Problems

Weiming’s vision for 2050 is optimistic but measured. He envisions a world where menial and dangerous tasks are handled by robots and AI, freeing humans to focus on higher-value activities. Beyond efficiency, he hopes that technology will have solved many of today’s pressing problems: dangerous working conditions, environmental degradation, and the physical limitations that prevent people from living full lives.

He is particularly enthusiastic about healthcare implants — seeing them as a genuine path toward enabling people with injuries or health conditions to resume normal life. On intelligence augmentation, he is more cautious: the theory sounds promising, but he wants to see evidence on safety and side effects before forming a firm opinion.

A Collaborative Vision: AI Assisting, Humans Deciding

A consistent thread in Weiming’s thinking is the importance of human oversight. Across nearly every domain — healthcare, education, recruitment, elderly care, law — he supports AI in a supportive or supplementary role, while insisting that final decisions remain with humans.

In healthcare, he welcomes AI for daily patient care and physical examination, but believes that diagnosis should involve human doctors. In education, he sees AI as a valuable teaching assistant and a reliable grader for straightforward subjects, while recognising that understanding a student’s social and emotional needs requires a human teacher. In recruitment, AI can efficiently process hundreds of applications and match skills to requirements — but a human must make the final call.

I think they can play a role like teaching assistants, but not completely as the teacher. Teaching also involves taking note of each student’s individual needs — social interaction, emotional needs.

Robots at Home and in the Community

Weiming is broadly positive about robots in domestic settings. He supports AI in housekeeping (most tasks, though he’d keep cooking at least partially human, given its emotional value), childcare (in supporting roles — hygiene, entertainment — while preserving human-to-human interaction), and elderly care (mobility support, daily needs, companionship). For pets, he is comfortable with AI filling in during the short periods when humans are unavailable, though he notes that if all pet care were delegated to robots, having a pet would lose its meaning.

On infrastructure, he welcomes fully automated self-driving cars (with human override capability), drone delivery, and AI-managed utilities. For crime surveillance, he is enthusiastic: AI can monitor thousands of cameras simultaneously and alert humans when anomalies are detected, in a way that human manpower never could.

Trust, Responsibility, and the Limits of Algorithms

Weiming does not want AI judges — most cases, he argues, involve too many human factors for a clear-cut algorithmic determination. He similarly opposes AI in political decision-making and credit scoring, where he believes that trust is fundamentally built through human interaction. He supports AI in military analysis (identifying threats, assessing battlefields) but insists that generals, not algorithms, must make the final decisions.

He rates AI art as interesting — produced quickly and looking good — but acknowledges that it cannot convey the emotions behind a human artist’s work. His overall outlook is positive: AI and robots are “getting more advanced to assist in our daily life, and that is a good thing,” as long as the risks are managed and human judgment remains central.