AI Wearables in 2026: Smart Glasses, AI Devices & the Future of Wearable Tech

That is the larger vision behind AI wearables: technology that works around you instead of requiring you to constantly interact with a screen.

Why 2026 Could Be an Important Year

The development of smaller AI models, more powerful mobile processors, improved sensors, better microphones and cameras, and increasingly capable generative AI is making wearable AI more practical.

The biggest change may not be a single revolutionary device. Instead, it could be the gradual integration of AI into multiple everyday products.

Smart glasses, earbuds, watches, rings and other wearable devices could increasingly work together as a connected AI ecosystem.

In the following sections, we'll explore how this technology works, which types of AI wearables are emerging, what they can actually do, and whether wearable AI could eventually become one of the most important interfaces between humans and computers.

What Are AI Wearables?

AI wearables are wearable electronic devices that combine traditional sensors and hardware with artificial intelligence. Instead of simply collecting information or displaying notifications, these devices can process information, understand commands, and provide intelligent responses based on the user's situation.

The category includes several types of products, such as AI smart glasses, intelligent earbuds, smartwatches, AI-powered rings, and emerging screenless wearable devices.

How Are AI Wearables Different From Regular Wearables?

A conventional smartwatch, for example, may measure heart rate, count steps, display notifications, and run applications. An AI-powered wearable can add another layer of intelligence by interpreting information and responding to natural-language instructions.

The difference can be summarized simply:

Traditional wearable:
Collects data and performs predefined functions.

AI wearable:
Collects data, understands context, and can use AI to generate a response or assist with a task.

For example, instead of manually checking a notification on a smartwatch, a user could potentially ask an AI assistant to summarize recent messages and provide the most important information.

The Main Technologies Behind AI Wearables

Several technologies are making modern AI wearables possible.

Artificial Intelligence:
Generative AI and multimodal AI models allow devices to understand text, speech, images, and other forms of information.

Computer Vision:
Cameras can help certain wearable devices understand objects, signs, environments, and other visual information.

Voice Recognition:
Advanced microphones and speech-recognition systems allow users to interact with devices using natural language.

Sensors:
Motion, location, audio, and other sensors provide contextual information that AI systems can use to understand what is happening around the user.

Cloud and On-Device Processing:
Some AI tasks can be processed directly on the device, while more demanding operations may rely on cloud-based AI systems.

From Accessories to AI Assistants

The most interesting development is that AI wearables are moving beyond the idea of being simple accessories.

A pair of AI glasses, for instance, could potentially act as a camera, translator, navigation assistant, information tool, and voice-based AI assistant in one device.

This creates a new type of technology interaction where users don't necessarily need to look down at a screen to access digital information.

As AI models become smaller, faster, and more efficient, wearable devices could become increasingly capable while remaining lightweight and practical for everyday use.

AI Smart Glasses: The Biggest AI Wearable Trend

Among all emerging AI wearables, smart glasses are arguably one of the most exciting categories in 2026. Unlike smartphones and smartwatches, glasses can provide AI assistance while keeping the user's hands free.

Modern AI glasses can combine cameras, microphones, speakers, wireless connectivity, and AI assistants inside a relatively compact wearable device.

How AI Smart Glasses Work

AI smart glasses typically use a combination of cameras, microphones, speakers, sensors, and an AI processing system.

A user might speak a question to the glasses, while the built-in camera can provide visual context. The AI system can then process the request and respond through speakers or, on more advanced devices, through a visual display.

For example, a user could potentially ask:

“What am I looking at?”

The camera captures the surrounding scene, computer vision analyzes it, and the AI assistant provides an answer.

This makes smart glasses fundamentally different from ordinary glasses or even traditional Bluetooth audio devices.

AI Glasses Can Understand the World Around You

One of the most important developments is multimodal AI.

Instead of understanding only written prompts, multimodal AI can work with multiple types of information, including:

Images
Voice
Text
Video
Environmental context
Location information

This allows AI glasses to become more context-aware.

For example, they could help a traveler understand a foreign sign, help someone remember where they placed an object, or provide information about something visible in front of them.

The technology is still developing, but this ability to connect AI with the physical world could become one of the defining features of wearable computing.

Hands-Free AI Assistance

Another major advantage is convenience.

With a smartphone, users generally need to take the device out, unlock it, open an application, and interact with a screen. AI glasses can potentially reduce these steps to a simple voice command.

This could be especially useful while:

Walking
Traveling
Cooking
Working
Exercising
Shopping
Exploring unfamiliar places

Instead of interrupting an activity, users can interact with AI more naturally.

The Future Could Go Beyond Audio

Today's AI glasses can provide assistance through voice and audio, but the longer-term vision is even more ambitious.

Future devices could combine AI with augmented-reality displays, allowing digital information to appear directly within the user's field of view.

Imagine walking through a new city and seeing navigation directions overlaid on the street, receiving instant translations while reading a sign, or getting contextual information about a landmark without taking out a phone.

That combination of AI + computer vision + augmented reality could transform smart glasses from useful accessories into a completely new computing platform.

Privacy Will Become a Major Issue

The same cameras and microphones that make AI glasses useful also create important privacy questions.

If wearable devices can continuously capture audio, images, or environmental information, users will need clear controls over when data is collected, where it is processed, and who can access it.

Manufacturers will therefore need to make privacy indicators, recording controls, data protection, and transparent AI policies a major part of the product experience.

AI smart glasses may eventually become one of the most natural ways to interact with artificial intelligence—but their success will depend not only on what they can do, but also on whether people trust them.

AI Earbuds: Your AI Assistant in Your Ears

Smart glasses may be getting much of the attention in wearable AI, but AI-powered earbuds could become just as important. They offer a more discreet way to interact with artificial intelligence without requiring a screen or a visible display.

What Makes AI Earbuds Different?

Traditional wireless earbuds are primarily designed for music, calls, and basic voice assistants. AI earbuds can take this concept further by connecting users with more capable conversational AI.

Instead of simply saying a predefined command, users can potentially have a more natural conversation with their AI assistant.

For example:

“Summarize the message I just received.”

“Translate what this person is saying.”

“Remind me what I need to buy today.”

The AI can understand the request and respond through the earbuds without requiring the user to open a smartphone.

Real-Time Translation Could Be a Major Use Case

One of the most interesting applications for AI earbuds is language translation.

Imagine having a conversation with someone who speaks another language. Instead of constantly switching between translation apps, AI-powered earbuds could potentially listen to the conversation, interpret the speech, and provide translated audio in near real time.

This could make international travel and communication much easier.

As speech recognition and multilingual AI models continue improving, wearable translation could become faster and more natural.

AI Earbuds Can Be More Than Audio Devices

The future of AI earbuds isn't limited to playing sound.

With microphones, sensors, wireless connectivity, and access to AI models, earbuds could become an always-available interface for digital assistance.

They could potentially help users:

Answer questions
Summarize information
Translate conversations
Set reminders
Navigate unfamiliar locations
Draft or respond to messages
Control compatible smart-home devices
Provide hands-free information

This makes earbuds particularly interesting because they don't require users to look at a screen.

The Rise of Ambient AI

AI earbuds are also part of a broader concept known as ambient computing.

Instead of sitting down at a computer or constantly checking a smartphone, technology becomes available in the background and responds when needed.

A user could be walking through a city, working in an office, or preparing a meal while still having access to an AI assistant.

The goal isn't necessarily to make people interact with technology more often. Instead, the goal is to make technology less intrusive and more naturally integrated into everyday activities.

Challenges Still Remain

AI earbuds also face limitations.

Battery life, microphone quality, internet connectivity, processing power, response speed, and privacy all affect the experience.

There is also the question of whether people actually want an AI assistant listening for commands throughout the day.

For AI earbuds to become mainstream, manufacturers will need to balance intelligence, convenience, battery efficiency, privacy, and user control.

As these technologies improve, however, earbuds could become one of the simplest ways to access AI throughout the day.

AI Smartwatches and Rings: Smaller Devices, Smarter Assistance

AI is also transforming smaller wearable devices such as smartwatches and smart rings. While these products have traditionally focused on fitness tracking, notifications, and basic smartphone features, AI is making them more capable of understanding information and assisting users throughout the day.

AI-Powered Smartwatches

Modern smartwatches already contain powerful sensors, microphones, processors, and connectivity features. Adding advanced AI capabilities can turn these devices into more useful personal assistants.

Instead of simply displaying a notification, an AI-enabled smartwatch could potentially understand the context of a message and provide a short summary.

Users could also interact with an AI assistant through voice commands, asking questions, creating reminders, checking information, or controlling compatible devices.

AI Smart Rings

Smart rings take wearable technology in an even smaller direction.

These compact devices can collect information through sensors while remaining lightweight and discreet. Combined with AI, sensor data can potentially be interpreted to provide more meaningful insights rather than simply presenting raw numbers.

For example, an AI system could analyze patterns across different measurements and present information in a simpler, more understandable way.

Why Smaller Wearables Matter

The future of wearable AI may not depend on one device replacing the smartphone.

Instead, different devices could work together.

Smart glasses could provide visual information, earbuds could handle voice interaction, a smartwatch could provide quick controls, and a smart ring could contribute additional sensor data.

Together, these devices could form a connected personal AI ecosystem.

The Importance of On-Device AI

One of the biggest developments to watch is the movement toward on-device AI processing.

If certain AI functions can run directly on wearable hardware, devices may respond faster and potentially send less information to cloud servers.

This could improve responsiveness while also offering privacy advantages.

However, wearable hardware has strict limitations involving battery life, heat, memory, and processing power. AI models therefore need to become increasingly efficient.

A New Generation of Personal Computing

Smartwatches and rings demonstrate an important trend: AI doesn't necessarily need a large screen.

As AI becomes more capable, the interface can become smaller, simpler, and more natural.

Instead of opening an application and searching through menus, users may increasingly communicate with AI through voice, gestures, sensors, and contextual interactions.

This could eventually make wearable devices an important part of the next generation of personal computing.

How AI Wearables Understand the World Around You

One of the biggest differences between traditional wearable technology and modern AI wearables is their ability to understand context.

A fitness tracker might record how many steps you take. An AI-powered wearable can potentially combine information from cameras, microphones, sensors, and AI models to understand what is happening around you and respond accordingly.

Computer Vision Makes Wearables More Aware

AI smart glasses are a strong example of this technology.

A built-in camera can capture an image or scene, while a computer-vision model analyzes what the device sees. The AI may then identify objects, read text, recognize environments, or answer questions about visual information.

For example, a user could look at a restaurant menu and ask:

“What are the vegetarian options?”

The wearable could use its camera to interpret the menu and provide a spoken response.

This kind of interaction moves AI beyond a traditional text box and connects it directly with the physical world.

Voice and Visual Information Can Work Together

Multimodal AI becomes especially powerful when different types of information are combined.

A user might say:

“What is this building?”

The voice provides the question, while the camera provides the visual information needed to answer it.

The AI system can combine both inputs to understand the user's intent and generate a response.

This combination of vision + voice + contextual information is one of the technologies that could make future AI wearables feel much more natural.

AI Can Potentially Understand Context

Context is another important piece of the puzzle.

Imagine asking an AI wearable:

“What should I do next?”

A simple chatbot would need additional information. A context-aware wearable could potentially consider information such as the user's current activity, location, calendar, previous interactions, or nearby environment—depending on what permissions the user has granted.

This could allow AI assistance to become more personalized.

However, context-aware AI must be designed carefully. Collecting more information can make an assistant more useful, but it can also create significant privacy and security concerns.

Real-Time AI Interaction

Another major advantage of wearable AI is speed.

Traditional workflows often require users to stop what they are doing, take out their phone, open an application, enter a request, and wait for a response.

Wearable AI aims to reduce this friction.

A user could simply speak a question while continuing their activity. The device could process the request and provide an answer through audio or a visual interface.

This could be particularly useful for travelers, professionals, students, and people working in environments where using a smartphone is inconvenient.

The Challenge of Continuous Understanding

Making a wearable understand the world continuously is technically difficult.

Cameras and microphones consume power. AI processing requires computing resources. Internet-based models require connectivity. And constant environmental awareness raises difficult questions about privacy.

For this reason, the future of AI wearables will likely involve a combination of on-device processing, cloud AI, efficient sensors, and user-controlled permissions.

The ultimate goal is not simply to make wearables collect more data. It is to make them understand enough context to provide genuinely useful assistance at the right moment.

How AI Wearables Could Change Everyday Life

The real potential of AI wearables isn't simply that they can run artificial intelligence on a smaller device. Their biggest advantage is the possibility of making AI available when and where people actually need it.

Instead of sitting in front of a computer or constantly checking a smartphone, users could interact with AI while continuing their everyday activities.

AI-Powered Navigation

AI wearables could make navigation more natural.

Smart glasses could potentially provide directions through a visual display, while earbuds could deliver spoken instructions. Instead of repeatedly checking a map on a phone, users could receive guidance while walking.

Future systems could also combine navigation with environmental understanding, helping users recognize streets, buildings, landmarks, or nearby locations.

Breaking Language Barriers

Real-time translation could become another major application.

AI glasses and earbuds could potentially translate conversations, signs, menus, and other information while users are traveling or communicating with people who speak different languages.

This could make international travel easier and create new possibilities for cross-language communication.

AI at Work

Wearable AI could also become useful in professional environments.

Imagine a technician receiving hands-free instructions while repairing equipment, or a worker asking an AI assistant for information without stopping their task.

Professionals could potentially use wearable AI for:

Quick information retrieval
Voice notes
Meeting summaries
Hands-free instructions
Translation
Task reminders
Document assistance
Real-time communication

The value comes from reducing the need to constantly switch between physical work and digital screens.

AI for Learning

Students could also benefit from wearable AI.

Instead of simply searching for an answer, a learner could ask an AI assistant to explain a concept while studying or exploring something in the real world.

For example, a student visiting a historical location could ask questions about the building or event they are seeing and receive contextual explanations.

Used responsibly, this could make learning more interactive and accessible.

Accessibility

AI wearables may also provide important accessibility benefits.

Voice interaction, visual recognition, text-to-speech, speech-to-text, and translation could help people interact with digital and physical environments in new ways.

For example, an AI-powered camera wearable could potentially describe objects or read visible text aloud, while voice-based interaction could reduce dependence on traditional screens.

The Smartphone May Not Disappear

Despite these possibilities, AI wearables are unlikely to completely replace smartphones in the near future.

Smartphones still offer large displays, powerful applications, cameras, keyboards, batteries, and extensive connectivity.

Instead, a more realistic future is that smartphones and AI wearables work together.

The smartphone could remain the central computing device while glasses, earbuds, watches, and rings provide convenient interfaces for specific situations.

From Screen-Centered to Ambient Computing

This represents a larger change in how people may interact with technology.

For decades, computing has largely revolved around screens. AI wearables could move some interactions into the background, allowing people to communicate with technology through voice, vision, gestures, and context.

That doesn't mean screens will disappear. It means users may have more ways to access digital intelligence without constantly looking at one.

Privacy and Security: The Biggest Challenge for AI Wearables

AI wearables can become extremely useful because they can see, hear, and understand the environment around their users. However, those same capabilities create one of the biggest concerns surrounding wearable AI: privacy.

A smartphone is usually used intentionally. A wearable device, particularly smart glasses or AI earbuds, can potentially remain active while a person is walking, working, traveling, or talking to other people.

This creates important questions about how data is collected, processed, stored, and protected.

Cameras and Microphones Create New Privacy Risks

AI glasses may include cameras and microphones that allow them to understand visual and audio information.

While these components make the technology more useful, they can also capture information involving people who never agreed to interact with the device.

Manufacturers therefore need clear indicators and controls that make it obvious when recording or AI-powered features are active.

Users should also have meaningful control over what the device can access.

Where Is the Data Processed?

Another important question is whether AI processing happens on the device or in the cloud.

On-device processing can potentially reduce the amount of personal information sent to remote servers. Cloud-based processing, on the other hand, can provide access to more powerful AI models but may require data to leave the wearable.

The best systems may use a combination of both approaches.

Simple or sensitive tasks could potentially be handled locally, while more demanding AI requests could use secure cloud infrastructure when the user permits it.

Personal Data Could Become Extremely Valuable

AI wearables can potentially collect information about a person's environment, routines, conversations, preferences, and interactions.

When combined over time, this information could create a highly detailed picture of someone's daily life.

That makes strong security particularly important.

Companies developing wearable AI should focus on:

Data encryption
Clear privacy controls
Secure authentication
Minimal data collection
Transparent data policies
User-controlled permissions
Secure software updates

Privacy Rules Will Need to Evolve

Existing privacy expectations were largely developed around computers, smartphones, websites, and traditional cameras.

AI wearables introduce new situations.

For example, what happens when someone wearing AI glasses enters a private workplace, classroom, hospital, or meeting?

Organizations may need specific policies governing where wearable cameras and recording capabilities are permitted.

Consumers will also need clearer information about what their devices can detect and how that information is handled.

Trust Could Determine the Success of Wearable AI

Technical capability alone will not guarantee that AI wearables become mainstream.

People need to feel comfortable wearing devices that can potentially listen, see, and process information around them.

If companies fail to address privacy concerns, adoption could slow significantly.

On the other hand, devices that provide strong privacy controls, visible recording indicators, transparent policies, and local processing options could build greater consumer trust.

The future of AI wearables will therefore depend on finding the right balance between intelligence and privacy.

Leading AI Wearables and Technologies to Watch in 2026

The AI wearable market is still developing, but several categories are already showing where the industry could be heading. From AI-powered glasses to smart rings and intelligent earbuds, manufacturers are experimenting with different ways to bring artificial intelligence closer to everyday life.

AI Smart Glasses

Smart glasses remain one of the most promising areas of wearable AI.

Modern devices can combine cameras, microphones, speakers, wireless connectivity, and AI assistants. Their biggest advantage is hands-free interaction, allowing users to access information without constantly reaching for a smartphone.

Future generations are expected to become more capable at visual understanding, translation, navigation, and contextual assistance.

AI-Powered Earbuds

AI earbuds are another category worth watching.

Because earbuds are already widely used for music and calls, adding conversational AI and translation features could make them a natural entry point for wearable AI.

Their small size also makes them less visually intrusive than smart glasses.

AI Smartwatches

Smartwatches have already become mainstream wearable devices, making them an important platform for AI.

AI could make watches better at summarizing notifications, understanding voice requests, organizing information, and providing personalized assistance.

The biggest limitation is the small display, which makes voice interaction particularly important.

Smart Rings

Smart rings represent another direction: minimalist wearable computing.

Their compact form factor makes them suitable for continuous sensor-based interactions without requiring a screen.

As AI becomes better at interpreting sensor information, smart rings could potentially move beyond simple data collection and provide more meaningful contextual insights.

The Importance of Multimodal AI

The most interesting development may not be a specific wearable product.

It is the integration of multimodal AI.

Future wearable systems could combine information from cameras, microphones, motion sensors, location data, and other inputs.

For example, a pair of smart glasses could see an object, earbuds could deliver the AI's response, and a smartwatch could provide controls or additional information.

Instead of thinking about each device separately, companies may increasingly build interconnected AI ecosystems.

What to Look for When Evaluating AI Wearables

Consumers considering AI wearables should look beyond marketing claims.

Important factors include:

AI capabilities
Battery life
Privacy controls
Camera and microphone quality
On-device AI processing
Cloud connectivity requirements
Compatibility with smartphones
Software updates
Comfort and design
Long-term manufacturer support

A device with impressive AI features is not necessarily useful if its battery runs out quickly or requires excessive access to personal data.

The Market Is Still Evolving

AI wearables are not yet a single standardized product category.

Different companies are approaching the technology from different directions, and some concepts may succeed while others may disappear.

What is becoming increasingly clear, however, is that AI is changing the purpose of wearable technology.

The next generation of wearables will likely focus less on simply displaying information and more on understanding users, environments, and context.

The Future of AI Wearables: What Comes Next?

AI wearables are still in the early stages of development, but the direction of the technology is becoming increasingly clear. The next generation of wearable devices could make artificial intelligence feel less like an application and more like a constant, personalized layer of computing.

AI Could Become More Personal

Today's AI assistants generally respond when users ask questions. Future wearable AI could become more context-aware.

Instead of waiting for a detailed prompt, an assistant could potentially understand what a user is doing and provide useful information at the appropriate moment.

For example, while traveling, an AI wearable could help with navigation, translation, local information, and reminders without requiring constant interaction.

The key will be giving users control over how proactive their AI assistant is.

Smaller and More Powerful AI Models

AI models are also becoming increasingly efficient.

As smaller models become capable of running directly on smartphones and wearable devices, more AI processing could happen locally.

This could provide several advantages:

Faster responses
Reduced dependence on internet connectivity
Better privacy
Lower cloud usage
More reliable everyday assistance

For wearable devices with limited battery capacity, efficient AI will be particularly important.

Smart Glasses Could Become a New Computing Interface

One of the most significant possibilities is the evolution of smart glasses into a major computing interface.

Future glasses could potentially combine:

AI + cameras + voice + augmented reality + real-time information

Instead of looking down at a smartphone screen, users could receive relevant digital information within their surroundings.

Navigation directions, translations, notifications, search results, and contextual information could potentially appear exactly when needed.

Wearables Could Work Together

The future may not belong to one universal AI wearable.

Instead, users could have a collection of connected devices working together.

Smart glasses could handle vision and visual information.

Earbuds could handle conversations and audio responses.

Smartwatches could provide controls and notifications.

Smart rings could contribute sensor information.

An AI system could connect all of these devices and provide a unified experience.

The Smartphone Will Still Matter

Despite the rapid development of wearable AI, smartphones are unlikely to disappear overnight.

They remain extremely useful for complex tasks that require a large screen, detailed controls, cameras, applications, and significant computing power.

A more realistic future is a hybrid ecosystem in which smartphones remain important while AI wearables handle quick, contextual, and hands-free interactions.

The Biggest Question: Will People Trust Them?

Technology alone will not determine the success of AI wearables.

Consumers will need to trust devices that can potentially see, hear, and understand their surroundings.

Companies that prioritize privacy, security, transparency, battery efficiency, comfort, and user control will have a major advantage.

If those challenges are solved, AI wearables could become one of the most important developments in personal technology during the coming years.

Final Verdict

AI wearables are moving technology toward a world where interacting with artificial intelligence doesn't always require a screen.

Smart glasses, AI earbuds, smartwatches, and smart rings are all exploring different versions of this future.

The biggest opportunity is not simply making smaller AI devices. It is creating technology that understands what users need, when they need it, and how to assist without getting in the way.

As AI models become more capable and hardware becomes smaller and more efficient, wearable AI could gradually become a normal part of everyday computing.

Conclusion

AI wearables are becoming an important part of the next generation of personal technology. From smart glasses and AI earbuds to smartwatches and rings, these devices are bringing artificial intelligence closer to everyday life.

Their biggest advantage is convenience. Instead of constantly opening a smartphone or computer, users can interact with AI through voice, vision, sensors, and natural conversation.

However, the future of wearable AI will depend on more than powerful technology. Privacy, security, battery life, accuracy, comfort, and user control will all play a major role in determining which devices succeed.

As AI models become smaller and more efficient, wearable devices could become increasingly capable while requiring less cloud processing. This could make AI assistance faster, more private, and more practical.

The most exciting possibility is a connected ecosystem where smart glasses, earbuds, watches, and other devices work together as a personalized AI assistant.

AI wearables may not replace smartphones anytime soon, but they could change how we interact with technology—making computing more natural, hands-free, contextual, and accessible.

The future of AI may not simply be something we use. It may be something we wear.

Frequently Asked Questions

1. What are AI wearables?

AI wearables are wearable electronic devices that use artificial intelligence to understand information, respond to users, and provide intelligent assistance. Examples include AI smart glasses, AI earbuds, smartwatches, and smart rings.

2. What can AI smart glasses do?

Depending on the device, AI smart glasses can provide voice assistance, capture images, answer questions, recognize visual information, translate text or speech, and provide hands-free information.

3. Are AI wearables replacing smartphones?

Not currently. Smartphones remain more practical for many complex tasks. AI wearables are better viewed as complementary devices that can provide quick, contextual, and hands-free assistance.

4. Are AI wearables safe for privacy?

Privacy depends on the device and how its manufacturer handles data. Users should check camera and microphone controls, data policies, permissions, encryption, and whether AI processing can happen locally.

5. What is the future of AI wearables?

Future AI wearables are expected to become smaller, more powerful, more context-aware, and better connected. Smart glasses with AI and augmented reality could become particularly important as wearable computing develops.

6. Will AI wearables become mainstream?

AI wearables have the potential to become mainstream as hardware becomes more comfortable, affordable, useful, and reliable. However, widespread adoption will also depend heavily on consumer trust and privacy protection.

Final Thought

AI wearables represent a shift from screen-centered computing toward more natural human-AI interaction.

The technology is still evolving, but 2026 could prove to be an important stage in that transition. The devices we wear today may eventually become some of the most important interfaces through which we interact with artificial intelligence.