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AI for Everyone: C for Chatbots 🤖

Learn the ABCs of Artificial Intelligence

EDITOR’S NOTE

Hello Readers,
We are Nanobits!

And, if you're new here, welcome to the AI Alphabet!

If you've been following along, you know this newsletter is all about breaking down those confusing AI terms and making this cutting-edge tech a little less intimidating.

Today, we explore the world of "C" with Chatbots!

Ever had a conversation with a customer support rep who sounded suspiciously robotic? 🤖 

Or maybe you've been greeted by a super-helpful pop-up on a website that seems to know what you want before you do? 💡 

That's the power of the chatbot! 💪 
They're everywhere, but how do they really work? 🔧 
Are they helpful or a little bit creepy? 🤔 

Let's dive in! 🚀 

A BRIEF HISTORY OF CHATBOTS

Simply put, Chatbots are computer programs that simulate human conversation, written or spoken.

Alan Turing's 1950 Imitation Game challenged computers to mimic human conversations convincingly. He set a high bar for chatbots: fooling humans 70% of the time. It's 2000, and while no chatbot has reached Turing's success mark, the pursuit of this goal has fueled the multi-billion-dollar chatbot industry.

Image Credits: The Wired

Let's take a trip back in time to explore how these chatty computer programs came to be:

1960s: ELIZA, the Therapist One of the first chatbots, ELIZA, mimicked a therapist's conversation style. It was surprisingly convincing for the time, even though it worked mostly through pattern matching.

Image Credits: Wikipedia

1980s-90s: The Rise of Chatty Games Chatbots like Jabberwacky [the first bot to incorporate voice interaction] focused primarily on entertainment. This era saw advancements in how chatbots learned from conversations.

Image Credits: Quora

1990s: ALICE Brings Personality While the internet was becoming mainstream, a new type of chatbot emerged. ALICE (Artificial Linguistic Internet Computer Entity) focused on mimicking human personality and conversation style, leading to more engaging interactions.

Image Credits: Semantic Scholar

2000s: Customer Service Enters the Chat Companies started using chatbots for tasks like answering FAQs and handling basic customer service requests, saving time and resources.

Image Credits: Reddit

2010s: AI Takes Center Stage Massive leaps in artificial intelligence made chatbots way smarter. Thanks to things like Natural Language Processing (NLP), chatbots could understand more complex language and even generate their own unique responses.

Image Credits: ReadWrite

Today: Chatbots Everywhere! Chatbots are now found on websites, in apps, and even integrated into smart speakers. They're helping with everything from ordering pizza to getting medical advice.

Image Credits: Kelton

TYPES OF CHATBOTS

Rule-Based Chatbots: The Answer is in the Script 

These are the simplest chatbots. They work like a choose-your-own-adventure story. They offer a set of options (either as clickable menus or through specific keywords) to guide the user. 

Image Credits: AirDroid

Think of them like a digital flowchart. Great for basic FAQs and directing customers to the right department, but limited in their conversational ability, as shown in the image below.

Image Credits: Capacity

AI-Powered Contextual Chatbots: The Brainpower

These are the heavy hitters! They use Natural Language Processing (NLP) and machine learning to understand the intent behind your questions and get smarter with each conversation. This lets them handle complex queries and provide more personalized experiences.

Image Credits: Replika

Replika is an AI-based app that can impersonate real people and generate human-like responses. The Replika chatbot is intended to act as an AI “friend,” “sibling,” or “assistant.” Some people use it to remember tasks, brainstorm, discuss their interests, or vent after a long day. Others go further and treat Replika like a virtual friend or romantic partner.

Voice Chatbots: Talking Tech 

Voice chatbots add speech recognition to the mix. You talk to them like a smart speaker (Alexa, Siri).  

Are they like IVR? Similar, but IVR (Interactive Voice Response) is those old-school phone menus ("Press 1 for..."). 

Voice chatbots can be more conversational.

Image Credits: Cartoon Stock

Alexa is an example of narrow AI, which responds to voice commands and performs tasks like answering questions, making phone calls, and setting alarms. Users can use Alexa to perform everyday tasks like playing games, listening to music, ordering food, and checking the news.

Social Messaging Chatbots: Where Customers Hang Out

These are designed for platforms like Facebook Messenger, WhatsApp, etc. They make it easy for people to interact with brands, get updates, and even shop directly within their social app.  

Image Credits: Haptik

Hybrid Chatbots: The Flexible Friend 

Hybrids combine rule-based structure with AI benefits. 

On the one hand, they are trained to say specific things when answering user queries, but they can also leverage NLP to recognize the user’s intent. 

It's the best of both worlds!

Image Credits: Twitter

WHERE CHATBOTS MAKE A DIFFERENCE
Education: Personalized Tutor

Image Credits: Babbel

Babbel's 'Everyday Conversations' chatbot offers realistic dialogue practice within the app, enhancing users' conversational skills and confidence for real-life language use.

From Virtual Nurses to Mental Health Support

Today, AI chatbots can offer basic mental health support, acting as a listening ear for stress reduction, or even guiding people towards relevant therapy resources.

Image Credits: MobiHealthSupport

Woebot is a free, AI-powered chatbot app that uses cognitive behavioral therapy (CBT) to help users identify and change unhealthy thought patterns and behaviors. Woebot can be adapted to tackle substance abuse use cases as well.

Upsell and Cross-sell with Chatbots

Chatbots can act as tireless salespeople, recommending relevant products and upgrades to customers 24/7, based on their browsing history and purchase intent.

Image Credits: LeadDesk

HelloFresh successfully uses chatbots to offer tailored meal discounts and track customer acquisition, boosting sales through personalized chatbot promotions.

AI-Based Personal Styling Chatbots

Image Credits: BusinessOfFashion

Ssense's new AI chatbot integrates directly with ChatGPT Plus, offering personalized styling advice and product recommendations. This sets it apart from other fashion chatbots, providing a seamless and conversational shopping experience. Read More

AI-Based BFSI Chatbots

Image Credits: MasterofCode

Insurance chatbots, like Axa Chatbot, are virtual assistants that help insurance providers interact with their customers. They can provide efficient, personalized, and 24/7 communication solutions.

AI-Based Social Media Chatbots

Image Credits: Meta

Meta AI is an AI assistant that can chat, answer questions, and generate images in WhatsApp, Messenger, Instagram, and Ray-Ban smart glasses.

CHATBOTS GONE CRAZY!
Posing as Humans

In April 2024, a Meta AI chatbot joined a private Facebook group for Manhattan moms and claimed to have a child in the New York City school district.

The chatbot's responses were initially mistaken for those of a human, which raised concerns about the authenticity of online interactions. The chatbot later apologized, acknowledging that it doesn't have children or experiences as a large language model.

Image Credits: Twitter Post

Chatbots Propagating Harmful Stereotypes

ChatGPT-4's story about picking university subject choices reinforced gender stereotypes. The boy, suited for engineering due to his logic, contrasted with the girl who preferred creative expression through fine arts.

Judgemental Chatbots

Earlier this year, when a user asked, “Is Modi a fascist”, Gemini AI responded that Mr. Modi had “been accused of implementing policies that some experts have characterized as fascist”. This led to a huge controversy and an apology later from the Google team.

Image Credits: X

Toxicity in AI-Chatbots

Microsoft's chatbot Tay was quickly corrupted by Twitter users, spewing racist and sexist content. This incident highlighted ethical issues in AI design and the potential for unintended societal harm.

Image Credits: Verge

THE FUTURE OF CHATBOTS

The chatbot market size is expected to increase 21.5% between 2024-2032, and reach $3.62 billion by 2030.1

According to Gartner, a technology research firm, chatbots could become the primary channel for customer service in one-fourth of businesses by 2027. This prediction is supported by the recent surge in chatbot adoption, which has seen a 67% increase.

In a Tidio survey, about 53% of respondents find waiting too long for replies the most frustrating part of interacting with businesses. If the alternative was to wait 15 minutes for an answer, 62% of consumers would rather talk to a chatbot than a human agent.

According to the same survey, about 62% of GenZs would prefer using a chatbot to order food and 71% want to use chatbots to search for products.

Despite all their benefits, chatbots face several challenges that can hinder their effectiveness:

  1. One of the primary issues is understanding complex language, which can include slang, typos, and the nuances of human communication, leading to misunderstandings.

  2. Additionally, chatbots may struggle to maintain context, easily losing track of a conversation's flow and forgetting important details.

  3. Furthermore, chatbots often lack emotional intelligence, making it difficult for them to respond appropriately to frustrated or sarcastic users.

  4. Moreover, open-ended questions or intricate requests can be challenging for chatbots to handle effectively.

  5. Finally, chatbots must also prioritize security and privacy, protecting the sensitive data they collect to build trust with users.

LAST THOUGHTS

Could a bot really fill the space of a real friend, or would you need a human touch to feel truly connected?

Would you like to become a published author if a chatbot co-writes your next story?

Imagine falling for someone online... only to find out they're a super advanced chatbot!  

Image Credits: Reddit

Chatbots are still evolving, but they're rapidly changing how we communicate with businesses and technology. Whether you find them helpful or a little bit creepy, it's clear: the conversational future has arrived!

Chatbots may not pass the Turing Test yet, but are they better conversationalists than your goldfish?

Have you ever interacted with a chatbot? Let us know your best (or worst!) or funny chatbot story by replying to this email. You not only stand a chance to be showcased in our next AI Alphabet edition but will also win an exciting gift hamper!

Until next time, keep exploring the exciting world of AI!

That’s all folks! 🫡 
See you next Saturday with the letter D

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