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From "Tool" to "Partner": The Ethical Awakening of Virtual Digital Humans

Pivot·Digital Human Product Planner
16 minutes read
March 2, 2026
virtual digital humandigital humanethicsbrand assetAI
From "Tool" to "Partner": The Ethical Awakening of Virtual Digital Humans

From "Tool" to "Partner": The Ethical Awakening of Virtual Digital Humans

When we look back at the development trajectory of virtual digital humans in 2026, we find that they are undergoing a profound identity transformation. From early technical gimmicks to today’s productivity tools, and further toward potential emotional companions, digital humans are step by step blurring the boundary between human and machine. This technological revolution is not only reshaping the business landscape, but also provoking deep reflections on humanity, identity, and ethics.

I. Technology Singularity: From the "Uncanny Valley" to "Emotional Resonance"

The year 2025 was a key turning point for virtual digital human technology. According to a Gartner report, the core market of digital humans surpassed 40 billion RMB that year, driving more than 600 billion RMB in related industries. Three major technological breakthroughs truly helped digital humans step out of the "uncanny valley":

3D Gaussian Splatting (3DGS): It slashed modeling costs from tens of thousands of RMB to just double digits, making single-image, second‑level modeling a reality. Companies such as JD.com have already applied this technology to e‑commerce livestreaming, achieving the astonishing efficiency of "3 minutes to generate, cost in double digits".

Multimodal large‑model fusion: Platforms such as Baidu’s "Du Xiaoxiao" and SenseTime’s "Ruying" support multi‑turn dialogue and affective computing, enabling digital humans to evolve from "pre‑scripted" actors to entities capable of "autonomous decision‑making". Volcengine’s end‑to‑end 2D/3D solutions show that 3D avatars can support 180+ facial control points, simulate 24 types of emotions, and reach 99.5% accuracy in lip‑sync.

The explosion of the open‑source ecosystem: Chinese teams on GitHub have sparked an open‑source wave. HeyGem (Silicon Intelligence) enables 1‑second video cloning, 30‑second modeling, and 60‑second generation of 4K video, and can even be deployed locally on as little as a GTX 1080 Ti. This means that film‑grade digital humans that once required million‑level budgets can now achieve about 80% of the effect through open‑source solutions.

II. Commercial Awakening: From "Cost Reduction and Efficiency" to "Brand Asset"

The commercial value of digital humans is evolving from simple "cost reduction and efficiency improvement" to "brand asset". The implementation of six core scenarios has validated their business value:

Livestream e‑commerce: On Douyin, the digital host "Xiaomei" (for a domestic cosmetics brand) livestreamed continuously for 37 days, achieving GMV of 26 million RMB, with late‑night watch time surpassing prime‑time by 28%. JD.com’s "Yanxi" digital humans have already served more than 5,000 brands, boosting conversion rates in off‑peak livestreams by over 30% and attracting more than 100 million cumulative viewers.

Government services: In Zhangzhou, Fujian, the first AI civil servant "Houxi" is powered by a 671‑billion‑parameter domestic large model, achieving a 95% accuracy rate in responses. In Beijing’s Fengtai district, the digital civil servant "Feng Xiaoshu" has been deployed in government service halls, reducing average waiting time by 58%.

Culture and tourism: At the Shanghai Museum, the first digital tour guide "Xiao Ke" has extended the average visit time from 2 hours to 3–4 hours, while simultaneously boosting consumption at the café and cultural‑and‑creative shop. At the Tengwang Pavilion, the virtual digital human "Wang Bo" has been upgraded into an AI tour guide capable of composing poetry and customizing tour routes.

Cross‑border e‑commerce: Digital humans are becoming "digital interpreters" for companies going global. NuwaAI supports 12 languages; a team in Hangzhou used it to generate English and Japanese versions of their videos, with a single Facebook post reaching 54,000 views.

Virtual idols: Virtual idols such as A‑SOUL and Ling_LING have tens of millions of followers across platforms, with single endorsement fees ranging from hundreds of thousands to over one million RMB. Baidu’s "Du Xiaoxiao" has 4.4 million followers and was selected as one of the 2022 cultural industry hotspot events.

III. Ethical Dilemmas: When the Virtual Touches the Real Value System

The rapid development of digital humans has also brought a series of ethical challenges that are profoundly reshaping our social structures and value concepts.

Identity, recognition, and emotional manipulation: In virtual dating apps, users frequently chat with digital lovers, share their daily lives, and invest heavily in emotions, sometimes becoming overly dependent in real life. The rise of "AI resurrection of deceased relatives" services has sparked ethical debates over "using technology to fabricate emotional illusions". The family of actor Qiao Renliang asserted their rights against an unauthorized "AI resurrection" video, highlighting the latent conflicts between technological application and human emotional cognition.

Data privacy and algorithmic bias: On one e‑commerce platform, a digital‑human host excessively collected users’ location data and consumption preferences beyond reasonable business needs, and the platform was penalized by regulators. Algorithms trained on biased datasets can cause digital humans to output discriminatory content. For example, a virtual customer service agent may show clearly different service attitudes toward users from specific regions, genders, or ethnic groups, undermining social fairness.

Moral responsibility for virtual behavior: When a digital human commits an "infringing act" such as false advertising or emotional deception, it can be hard to determine who is responsible. In one case, a brand’s digital‑human host exaggerated product efficacy and misled consumers into buying, while the brand defended itself by claiming that "the digital human is merely a technical tool without subjective malice", making it difficult for consumers to safeguard their rights.

The risk of weakening human agency: As the human–machine boundary blurs, human subjects risk being weakened, and people may delegate their own judgment and decision‑making power to digital humans, inverting the subject–object relationship. Highly targeted algorithmic feeds can distort emotions; people who rely on the virtual solace of digital humans over the long term may retreat into isolated cocoons, neglecting or even abandoning real‑world social interactions and relationships.

IV. The Road Ahead: Building a Responsible Digital Ecosystem

Faced with these challenges, we need to build a responsible digital ecosystem so that digital human technology can truly benefit humanity.

Uphold a human‑centered approach: Clearly define digital humans as tools, and embed non‑removable identity watermarks and real‑time risk prompts into all application scenarios. Establish a "human final decision‑making authority" mechanism: in any high‑risk scenario involving business, finance, healthcare, and the like, digital humans may only provide reference information, while final decisions must always rest with humans.

Strengthen emotional safeguards: Platforms must bear primary responsibility by establishing circuit‑breaker mechanisms for digital‑human interactions, monitoring usage duration and emotional‑dependence indices in real time. Once usage exceeds preset thresholds, interactions should be immediately interrupted and users prompted to return to reality. Users, for their part, should proactively set daily interaction limits and regularly review their level of emotional dependence.

Anchor responsibility: Create an identity registration system for digital humans, linking each identity code to a specific operating entity. Promote algorithm transparency and standardize the retention of runtime logs to ensure that systems are "explainable, reviewable, and traceable". Strengthen platform content governance by implementing real‑time interception, human review, and archival of rumors, infringing speech, and vulgar content generated by digital humans.

Promote technology for good: In algorithm design and training, fully consider data diversity and algorithmic fairness. Establish behavioral norms and ethical review mechanisms for digital humans to prevent virtual idols from "collapsing" from the outset and to guide them toward spreading positive and healthy values.

Conclusion: Upholding Humanity in the Digital Age

The development of virtual digital humans is a double‑edged sword: it brings unprecedented opportunities while also posing profound ethical challenges. Amid the headlong rush of technology, we must maintain clear awareness and uphold the bottom line of humanity. Digital humans are not meant to replace humans, but to become more efficient "digital assistants" and "emotional companions" for us.

True intelligence lies not only in technological breakthroughs, but also in understanding and respecting human nature. In the digital world of the future, we need to build a human–machine symbiotic ecosystem where technology serves human well‑being, rather than the other way around. This is not only the responsibility of technology developers, but also a shared mission for every member of society.

Pivot

Digital Human Product Planner

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