Council Post: When AI Meets The Metaverse – Tech Tribune France

The metaverse has moved from buzzword territory to real-world applications. Organizations around the world are combining technologies such as AI, AR/VR, blockchain, etc. to offer services in the metaverse. For example, Gucci launched The Gucci Garden Experience in 2021 to sell virtual goods and sold a digital twin of a Gucci handbag at a higher price than its physical counterpart. Also, the high-end luxury brand has purchased a virtual plot on The Sandbox. Decentraland recorded 21,000 real estate transactions worth $110 million last year. And that’s just the beginning.

The million dollar question is: what role will AI play in this futuristic digital world? Although VR worlds can exist without artificial intelligence, the combination of the two brings a whole new level of immersive realism. Below, we examine the impact of the intersection of AI and the metaverse.

Extension of virtual reality

Virtual reality is where artificial intelligence really shines. When an AI engine receives historical data, it learns from old data to generate its own. The AI ​​output will improve with new inputs, human feedback, and machine learning. Eventually, AI will be able to perform tasks as well as humans. Companies like NVIDIA are leveraging AI to create entire virtual worlds. In the future, new worlds can be added without human intervention.

Almost every major consumer brand and company enters the metaverse. Digital twins and other exponential technologies power the metaverse. A digital twin can enhance the physical experience. Take, for example, a stadium that can only accommodate 20,000 people for a live concert. A digital twin can allow millions of people to participate in the event while enabling dynamic interactions.

The metaverse will require a hyper-personalization strategy to deliver relevant and engaging campaigns. GAN will be both a boon and a bane in the world of digital humans. GAN has the potential to create highly creative content, but on the other hand, the same technology can be used for social engineering through deep fakes and disinformation campaigns.

Avatars

Users are at the heart of the metaverse, and the accuracy of your avatar determines the quality of the experience. An AI engine can analyze 2D user images or 3D scans to create a highly realistic simulation. It can add facial expressions, emotions, hairstyles, etc. to make the avatar more dynamic. In the metaverse, digital humans are 3D versions of chatbots. However, avatars are not exact replicas of people, but rather AI-enabled non-player characters (NPCs) in a video game.

Multilingual

Language processing is one of the most common applications of AI in the metaverse. Artificial intelligence can convert natural languages ​​into a machine-readable format, perform analysis, arrive at an answer, and convert the results into the language of your choice. The process only takes a fraction of a second, just like a real conversation. The best part is that a universal language translator can remove language barriers and make the metaverse highly accessible.

Interfacing

AI can add great value to human-computer interactions (HCI). For example, sensors in a VR headset can read your motor cortex to determine how you want to move through the metaverse. AI can generate haptic feedback, blurring the lines between reality and simulation. It can also help with voice navigation, allowing you to interact with virtual objects without hand controllers.

Metaverse and Web3

“The future of the Internet: a large-scale, persistent, interactive and interoperable real-time platform composed of interconnected virtual worlds where people can socialize, work, transact, play and create,” said the writer. Matthew Ball.

The Metaverse is the distant evolution of Web3, a network of decentralized virtual worlds powered by blockchain technology. It is ideal to have an “open and decentralized” metaverse in which no one entity controls user data and assets. But, as it stands, most early-stage metaverses are owned by big tech companies. Meta entry has incorporated the concept of metaverse. However, in most companies, the digital identities and content created by users on their platforms are stored in centralized servers over which users have no control. Businesses are technology providers and decision makers and own the data.

Tech companies are not known to protect user interests and data. With the metaverse gaining traction, decentralization and data privacy must be priorities. As we move towards a decentralized Web3, we need to consider what kind of metaverse we want to build. Since the metaverse is all about merging virtual and physical worlds, having an interoperable and open-source arrangement is essential to ensure that different virtual worlds can exist seamlessly.

I’m excited to see how Web 3.0 and the metaverse will evolve in the future.

Supercomputers

Meta relies on its high computer game to enable lightning-fast games allowing instant and seamless transactions of staggering amounts of text, images and video at once – imagine a group of people speaking different languages ​​simultaneously and being able to communicate seamlessly. The digital babel fish could be a reality. Supercomputers could also analyze large amounts of images or videos for harmful content or identify a single face among a large crowd. It will also play an important role in the development of next-generation AI models, power the metaverse, and provide a foundation for future metaverse technologies.

Responsible AI

Undoubtedly, AI will play an important role in the metaverse. And AI, which is not bound by a central authority, standard or code of ethics, can have disastrous consequences. AI algorithms reflect the biases of their creators. We’ve seen how AI can create gender bias, give men higher credit card limits than women, discriminate against certain ethnicities, and more. But if we are to create a global standard, who should make the decision? And how can we mitigate bias?

The solution is to develop ethical standards. Unfortunately, most AIs are created without ethical scrutiny, which needs to change in the metaverse.

Many metaverse users will most likely communicate in their native language. However, AI-based language technology has the potential to perpetuate bias. Therefore, we must ensure that the linguistic AI is also ethically trained.

No one knows what the Metaverse will look like in the end. AI will become increasingly adept at predicting patterns for the better. However, if left unchecked, AI has the potential to disrupt the way we “live” in the metaverse. Responsible or ethical AI is the need of the hour.

This article is written by a member of the AIM Leaders Council. AIM Leaders Council is an invitation-only forum of senior executives from the data science and analytics industry. To check if you are eligible for membership, please complete the form here.

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Council Post: When AI Meets The Metaverse – Tech Tribune France


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