While different visions of the future digital world known as metaverse emerge, what role will artificial intelligence (AI) play? Will it improve inclusiveness or, on the contrary, contribute to creating an even more discriminatory digital world?
The term “metaverse” is primarily used to refer to an anticipated future iteration of the Internet, often referred to as Web 3.0. This evolution of the Internet should see the rise of 3D or virtually integrated online environments. Its users will be able to access experiences of virtual reality and of augmented reality. Many companies are already working on creating services for this new digital world. Even tech giant Facebook changed its name to Meta.
All of this demonstrates that the metaverse is aiming to become the next big consumer technology. The role of blockchain in the metaverse has caused a lot of ink to flow. In part, this is due to the great hype about the NFT. But what about the intersection of the metaverse and artificial intelligence or AI? The few lines that follow talk about it.
Artificial intelligence (AI) in the metaverse
AI can play a relevant role in the future of the metaverse, not only from a product perspectivebut also considering how she could make the metaverse more inclusive.
Inclusive user interfaces
One of the keys to the metaverse’s potential success is the promise of highly immersive experiences. It has the ability to improve social interactions. But this can be a huge blockage for People with Disabilities access to this future digital world. In addition, people with low levels of digital skills may find themselves out of this new economy and social experience.
AI should play a fundamental role in guarantee everyone’s access to the metaverse. This could offer the image recognition for people with visual impairments, automatic translation or some brain-computer interfaces for the most vulnerable.
IAOps (Artificial Intelligence Operations Systems)
According to Coinbase, the platform needed to support the metaverse will need to be always active and massively scalable. In such a demanding scenario, AIOps will play a relevant role to manage all the necessary infrastructure. This includes hardware, basic software and communications.
As a reminder, IAOps is the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination”. The availability of these capacities will be essential to ensure the robustness of the metaverse infrastructure. It will also be used to provide information on activities relevant to the upper layers.
Improved smart contracts
The metaverse promises to allow creators and users easily exchange digital assets and rights. It will protect property while disintermediating it from big tech companies. But will this promise come true?
Adidas has for example launched its first NFT. Purchases have been limited to 2 per person. But the sale ended in less than a second. And a single person was able to buy 330 of them in a single transaction. Is this really the future of democratization of the internet ? Yes, power may shift away from big business. But it doesn’t seem like it’s down to the people, just the few, in this case with software skills.
In this case, improved smart contracts, integrating AIcould help identify such scenarios. Transaction-related infrastructure information could be used to trace this type of “undemocratic” activity.
AI for immersive digital worlds
One of the best examples of this set of technologies is I’NVIDIA’s Omniverse. The set of components that this platform offers to create digital worlds and simulate real worlds is simply impressive.
From building and simulation of massive worlds virtual environments for testing autonomous robots/AIs voice technologies for AI, technologies NVIDIA are a good example of how AI will be key to creating digital spaces in which social interactions will take place in the metaverse.
AI as a creative partner
The latest natural language processing models have opened the door to using AI as a creative partner. This generates a creative writing based on user input. AI can generate creative writing, but also realistic pictures from textual descriptions or very simple drawings. This is the case with technologies like SLAB Where GauGAN2 from NVIDIA.
Accurate avatar creation
Users are at the center of the metaverse and the accuracy of your avatar will determine quality of experience. An artificial intelligence engine can analyze 2D user images or 3D scans to offer a very realistic simulated rendering.
He can then trace a variety of facial expressions, emotions, hairstyles, and more. for make the avatar more dynamic. In order to create avatars for the metaverse, many companies use artificial intelligence, to mention only Ready Player Me. Also, Meta is already on its own version of the technology.
AI to improve social networks in the metaverse
One of the main purposes of the metaverse is improve the social media experiencein strengthening the digital self and digital personalization. If this will allow each user’s experience to be unique in the digital world as in the real world, it will also raise challenges in terms of inclusion and safety for minorities and children. How can AI improve social media in the metaverse?
Some efforts are already in place to create more inclusive and safe experiences for minority groups in social networks. Some focus on prevention of abuse and hate speech. Others focus on calculating the relevance of content for minority groups.
These are just a few ideas on how AI can help create differential and inclusive experiences in the metaverse. We will see from many creative use cases in the future.
The challenges around AI in the metaverse
It is important to keep in mind that the metaverse is a new area of research and exploitation. Thus, the implementation of AI could encounter problems. There might be questions about:
- The properties of AI-created content : Who owns the copyright and can benefit from AI-created VR content and worlds?
- Deepfakes and user transparency : How do you ensure users know they are interacting with AI and not other humans? How to prevent deep fakes and fraud?
- Fair use of AI and ML: Can users legally apply AI/ML technologies to metaverse interactions? For example, can they use the AI code to win games?
- the right to use the data for training AI models : How can we ethically train AI for the metaverse? What are the consent mechanisms involved?
- Liability for AI bias : If a digital human or similar AI algorithm displays bias, what recourse is there?
At the end of the day, without AI it will be difficult to create an engaging metaverse experience, authentic and scalable. That’s why companies like Meta work closely with think tanks and ethics groups to contain the risks of AI without limiting the potential of the technology. See also our file on the inherent dangers of the metaverse.
Supercomputers, AI and the Metaverse
A supercomputer is a computer with a very high level of performance. This performance far surpasses any consumer laptop or desktop available. Thus, it can be used for process large amounts of data and extract key information. These computers can perform the most complex computing operations.
The supercomputer market is expected to grow at a compound annual growth rate of approximately 9.5% from 2021 to 2026. The increasing adoption of cloud computing and cloud technologies will fuel this growth, as will the need for systems that can ingest larger datasets to train and operate AI.
The industry has exploded in recent years, with landmark achievements that have helped spark public interest. Additionally, companies around the world are striving to outperform and outpace the competition on their own supercomputer projects.
At the end of January, Meta announced on social media that it would develop an AI supercomputer. According to this company, it will one day be the fastest supercomputer in the world. The purpose of this tool is to run the next generation of AI algorithms. The first phase of its creation has already been completed. And by the end of 2022, the second phase should be completed.
What does this mean for the future of AI?
Meta promised a multitude of revolutionary uses of its supercomputer, from lightning-fast gaming to instant and seamless translation of mind-blowing amounts of text, images and video at once. Think of a group of people who speak different languages simultaneously and can communicate seamlessly.
It could also be used for analyze huge amounts of images or videos looking for harmful content, or to identify a face among a huge crowd of people. The computer will also play a key role in the development of next-generation AI models. It will power the metaverse and provide a foundation upon which future metaverse technologies can build.
But the implications of all this power mean that there are serious ethical considerations for the use of Meta’s supercomputerand for supercomputers more generally.
Ethics and AI
New technologies have always required societal conversations about how they should be used. Supercomputers are no different in this regard.
Although AI has solved some important and complex problems in the world, there are still some flaws. These flaws are not caused by AI algorithms. They are rather the direct result of data being fed into AI systems. If the data fed into the systems has a bias, then the result of an AI calculation is bound to carry this bias.
The era of AI also brings key questions on human privacy and the confidentiality of our thoughts. To address these concerns, we need to seriously consider our interaction with AI. In examining the ethical structures of AI, one must ensure that its use is transparent, explainable, impartial and accountable. Do not hesitate to consult our file on human rights in the metaverse.
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Metaverse: what role does artificial intelligence (AI) play in this virtual world?
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