AI's Future: Crafting Ethical Agents and Trust-Driven Interactions by 2025

Imagine a world where AI agents eclipse traditional apps by 2025, revolutionizing the way we interact with technology. 

Accenture just published its vision for a profoundly different world of work, radically reshaped by generative AI. 

What happens when AI acts autonomously at the center of enterprise tech, speaks for your brand, inhabits robotic bodies and collaborates for employees.

Listen into a Google Notebook LLM AI generated podcast version of Accenture's wonderful 67 page report. I do recommend reading the full report and remember remember AI can make mistakes, so be careful.

This AI generated podcasters episode promises to reshape your perspective on AI, revealing how it could evolve from being a mere tool to a trusted apprentice, learning and adapting alongside us. 

We dive into Accenture's ground breaking report and the concept of the "binary Big Bang," examining how foundational models like large language models are redefining software interactions. 

As AI begins to tackle more complex tasks autonomously, we discuss the implications for businesses and daily life, emphasizing the importance of guiding AI development like raising a child—carefully nurturing its potential before granting it independence.

This AI generated podcasters episode delves into the implications of AI's rapid evolution, focusing on trust, autonomy, and the essential need for personification in AI interactions.

As we prepare for a future dominated by AI agents and foundation models, the conversation challenges listeners to reconsider their relationship with technology and its potential impact on our lives.

What's included?

• Trust as a fundamental aspect of AI development

• The 'Big Bang' shift in AI and its implications

• Foundation models and their transformative roles

• The importance of personifying AI for better customer engagement

• Insights into AI's evolution regarding robotics and adaptability

• The ethical considerations in the AI landscape

• A need for better partnership between humans and AI in the workplace

Navigating the ethical landscape of AI, this episode also tackles the vital aspects of trust and authenticity in AI-driven interactions. With AI's increasing autonomy, maintaining genuine engagement is crucial to prevent a customer engagement crisis. We explore how to avoid the pitfalls of generic AI interactions by personifying AI to reflect brand personalities. 

Introducing a new learning loop encourages a symbiotic relationship between humans and AI, fostering collaboration for mutual growth. 

As the AI generated podcasters wrap up, we challenge you to envision crafting your own AI agent, considering its purpose, personality, and alignment with your values, leaving you pondering the transformative potential and ethical challenges of AI in our rapidly evolving world.

Chapters

• 0:00 The Future of AI Evolution
• 10:10 Navigating AI Ethics and Trust

Transcript

Speaker 1: 0:00

Welcome to our deep dive into AI. Today, we're looking at this Accenture report.

Speaker 2: 0:04

Oh, this one's fascinating.

Speaker 1: 0:06

Yeah, it asks can we trust AI enough to reach its full potential?

Speaker 2: 0:10

I mean, Like is trust the ceiling.

Speaker 1: 0:12

Yeah, exactly, it gets into AI becoming more independent, these cognitive digital brains.

Speaker 2: 0:16

Big implications for businesses.

Speaker 1: 0:18

Workers our everyday lives.

Speaker 2: 0:20

Everything, really.

Speaker 1: 0:21

And get this by 2025,. They predict most people will use AI agents more than apps.

Speaker 2: 0:28

Like for daily stuff.

Speaker 1: 0:29

Daily stuff. Kind of wild to think about.

Speaker 2: 0:31

Yeah, but AI moves so fast. Accenture's even calling 2025 the year of scaled AI.

Speaker 1: 0:36

So that's their declaration of AI autonomy.

Speaker 2: 0:39

Pretty much See. For a while, ai was this tool.

Speaker 1: 0:42

To automate stuff.

Speaker 2: 0:43

Right Specific tasks. Now it's a whole new way of working.

Speaker 1: 0:46

Not just doing what it's told.

Speaker 2: 0:48

Exactly, it's learning about your business adapting on its own.

Speaker 1: 0:51

Like less a hammer, more like an apprentice who keeps learning.

Speaker 2: 0:55

Perfect analogy. This is happening fast too. Remember Deep Blue, the chess computer.

Speaker 1: 1:00

Beat Casparoff was at 97.

Speaker 2: 1:02

Yep, the AI that makes that look basic is in everyone's pocket.

Speaker 1: 1:05

Yeah, crazy. The report even says 75% of knowledge workers are already using generative AI.

Speaker 2: 1:11

Huge adoption right.

Speaker 1: 1:13

Makes you wonder, though all this AI independence, can we trust these systems making decisions?

Speaker 2: 1:19

Million dollar question. The report really hammers on trust.

Speaker 1: 1:23

As the key.

Speaker 2: 1:24

The make or break for AI's success. They even compare building trust to raising a kid.

Speaker 1: 1:30

Okay, now that's interesting, how so?

Speaker 2: 1:32

Think about it. When they're young, we give them structure guidance.

Speaker 1: 1:36

Right set boundaries.

Speaker 2: 1:37

As they mature, more freedom, but we're still making sure they're making good choices right.

Speaker 1: 1:42

So we got to be responsible. Ai parents.

Speaker 2: 1:44

Exactly Set guidelines, monitor closely as we gain confidence, then more autonomy.

Speaker 1: 1:50

Makes sense, but trust goes both ways yeah.

Speaker 2: 1:53

Absolutely. It's not just preventing misuse.

Speaker 1: 1:55

It's trusting AI to do its job right when used correctly.

Speaker 2: 1:57

Nailed it. Now the report also mentions this binary Big Bang.

Speaker 1: 2:02

Sounds intense. What's that all about?

Speaker 2: 2:04

Accenture saying we're in this huge tick shift.

Speaker 1: 2:06

There's in like.

Speaker 2: 2:07

Foundation models. They're boosting our digital output massively.

Speaker 1: 2:11

Foundation models. Yeah, refresh my memory. What are those again?

Speaker 2: 2:14

Like the core AI brains behind a lot today Large language models, LLMs, you know.

Speaker 1: 2:20

Okay, yeah, so how do they create a big bang?

Speaker 2: 2:25

They're changing how we build and interact with software. Period apps are getting outdated like the ones on our phones those two, but broadly agents, are the new architecture agents like secret agent types not quite think ai assistants doing tasks interacting with systems and data okay like ad, adobe is putting AI creators right into their apps.

Speaker 1: 2:46

So, instead of you editing an image, the AI does it based on what I tell it?

Speaker 2: 2:50

Exactly. It's not just AI and software, it's becoming the software Wow.

Speaker 1: 2:54

That is major.

Speaker 2: 2:55

It is, and Accenture says three forces are behind this Abundance abstraction, autonomy.

Speaker 1: 3:01

Let's break those down, abundance first. What's that mean here?

Speaker 2: 3:04

AI makes creating digital systems faster, cheaper, like coding assistants.

Speaker 1: 3:09

Oh right, I've heard of those.

Speaker 2: 3:10

Saving companies thousands of developer hours. Amazon, for example, a project.

Speaker 1: 3:14

They use an AI assistant on.

Speaker 2: 3:16

Save them the equivalent of 4,500 developer years of work.

Speaker 1: 3:21

No way. So AI isn't just doing things differently, it's letting us do way more.

Speaker 2: 3:25

Multiplying output. Now, abstraction is like simplifying.

Speaker 1: 3:29

AI handles the complex stuff.

Speaker 2: 3:30

Behind the scenes so we interact more intuitively.

Speaker 1: 3:33

Less code more. Tell the AI what I want.

Speaker 2: 3:36

Exactly. It translates the digital world into something we get.

Speaker 1: 3:38

Okay, that's cool. And lastly, autonomy. We've been talking about this, but how's it fit in this big bang?

Speaker 2: 3:45

This is where it gets really wild. Ai will soon build and run its own code.

Speaker 1: 3:50

Well, hold on Like without humans.

Speaker 2: 3:52

Potentially Accenture's suggesting it could act like a business's central nervous system.

Speaker 1: 3:57

A whole company running on AI decisions. Yeah, that's both amazing and kind of scary.

Speaker 2: 4:01

Right, huge shift happening fast.

Speaker 1: 4:03

So we've got this big bang AI getting independent, this whole trust thing.

Speaker 2: 4:07

A lot to unpack, for sure.

Speaker 1: 4:08

What's it all mean for businesses, for everyday people? How do we even prepare for this?

Speaker 2: 4:12

That's what we'll get into next how companies are making AI more personified.

Speaker 1: 4:17

Making it more human-like.

Speaker 2: 4:18

In a way, yeah, Also how these foundation models are changing robots.

Speaker 1: 4:23

Robots getting smarter.

Speaker 2: 4:24

Way smarter and, of course, what it all means for the future of work itself.

Speaker 1: 4:28

Okay, I'm ready for more. This is just the beginning, huh.

Speaker 2: 4:31

We've barely scratched the surface.

Speaker 1: 4:33

Yeah.

Speaker 2: 4:33

It is, and, you know, one of the things that really got me thinking is how this AI autonomy yeah it's going to change the face of business Literally.

Speaker 1: 4:43

Okay, now I'm intrigued. Change the face.

Speaker 2: 4:46

How do you mean? Well, the report talks about this customer engagement crisis.

Speaker 1: 4:50

A crisis.

Speaker 2: 4:51

Yeah, because of all these generic AI interactions, every business is using the same.

Speaker 1: 4:56

Like bland AI.

Speaker 2: 4:57

Exactly no personality, no difference between them.

Speaker 1: 5:00

I kind of get it. It's like calling customer service. You know it's a robot.

Speaker 2: 5:04

You don't feel heard Right.

Speaker 1: 5:05

No real connection, not exactly building loyalty.

Speaker 2: 5:08

Exactly so Accenture. Their solution is businesses need to get personified.

Speaker 1: 5:12

Personified, like giving AI a personality.

Speaker 2: 5:15

Think about it. What makes a brand unique? Tone of voice, humor, their values. All that human stuff you Own a voice, humor, their values, all that human stuff. You can train AI agents with that, like it's casting an actor for a role.

Speaker 1: 5:27

Oh, I get it. They got to embody it, not just read lines.

Speaker 2: 5:30

Perfect analogy. They even mention Instagram is testing chatbots.

Speaker 1: 5:35

Chatbots. That mimic influencer personalities Wait seriously, so you could be chatting with like your favorite influencer.

Speaker 2: 5:42

Oh, it's an AI.

Speaker 1: 5:44

That's a little creepy, to be honest. How do we know it's not misleading people?

Speaker 2: 5:48

Good point. Transparency is key, for sure, but done right.

Speaker 1: 5:53

It could be huge.

Speaker 2: 5:54

Right, it's not just celebs, it's reflecting the brand, like SiriusXM.

Speaker 1: 5:58

Satellite radio.

Speaker 2: 6:00

Yeah, they built an AI named Harmony Harmony.

Speaker 1: 6:02

Kind of fitting.

Speaker 2: 6:03

Right, and here's the cool part they trained Harmony on tons of SiriusXM's own data.

Speaker 1: 6:09

So it's not just general knowledge.

Speaker 2: 6:10

It gets their language, their terms, how their customers talk.

Speaker 1: 6:13

It speaks the brand basically.

Speaker 2: 6:15

Exactly, builds trust connection. But that's just one site. Right, ai is changing robots too.

Speaker 1: 6:19

Okay, from being just single purpose machines.

Speaker 2: 6:30

To reasoning adaptable ones. You remember figure A1, that humanoid robot.

Speaker 1: 6:36

I think so vaguely.

Speaker 2: 6:37

Remind me what it did it used a vision language model understood a request, a request, yeah, and then it recognized an apple, that it was food. It knew what an apple was, and then it gave the apple to a person all on its own.

Speaker 1: 6:49

So it wasn't programmed for that specific thing.

Speaker 2: 6:51

It adapted Foundation models. Let robots do that Gives them the brains for a complex world.

Speaker 1: 6:57

So I'm seeing a theme here. Yeah, these foundation models.

Speaker 2: 7:01

They're the key.

Speaker 1: 7:01

For this whole next level of AI, whether it's chatbots or robots.

Speaker 2: 7:05

You got it they're the brains behind it all. And when it comes to robots, yeah. Accenture highlights three big evolutions these models are driving.

Speaker 1: 7:13

Okay, lay them on me.

Speaker 2: 7:15

First contextual understanding. Robots used to just recognize stuff.

Speaker 1: 7:20

An apple is round red, whatever.

Speaker 2: 7:22

Now they're starting to understand meaning, like with Figaro 1.

Speaker 1: 7:24

It didn't just see the apple, it got that it was food.

Speaker 2: 7:27

Exactly. Context is everything for robots in the real world, you know.

Speaker 1: 7:31

Yeah, real world's full of surprises.

Speaker 2: 7:32

Huh.

Speaker 1: 7:33

Okay, what's evolution number two?

Speaker 2: 7:35

Communication. We're going to be talking to robots, just like we talk to each other.

Speaker 1: 7:39

Wait, really no more coding and programming.

Speaker 2: 7:42

It'll be natural language. Yeah, making robots way easier to use for everyone.

Speaker 1: 7:46

So I could just be like hey, robot, make me a sandwich.

Speaker 2: 7:48

Exactly See Much me a sandwich. Exactly See Much simpler. Okay, and the third evolution Get me. It's about planning and action. Robots are going beyond just pre-programmed tasks.

Speaker 1: 8:01

So more adaptable, thinking on their feet.

Speaker 2: 8:03

Exactly Breaking down complex goals into steps, figuring out situations they weren't trained for.

Speaker 1: 8:09

All thanks to those foundation models, huh. But I bet some people are hearing this and thinking robots taking over the world. Yeah, Like are we all going to be out of jobs. Time to build a bunker.

Speaker 2: 8:17

Uh-huh, hold off on the apocalypse prep. For now, accenture talks about this new learning loop.

Speaker 1: 8:22

New learning loop. What's that all about?

Speaker 2: 8:23

It's a shift from automation to empowerment, meaning we stop seeing seeing AI as the enemy. We see it as a way to boost our abilities to do more.

Speaker 1: 8:34

I like that idea. But, how do we actually do that?

Speaker 2: 8:37

Well, they point out a few big advantages to this approach Infinite skills for one.

Speaker 1: 8:42

Infinite skills sounds like a cheat code.

Speaker 2: 8:43

Right, ai could give us access to abilities we don't have naturally. So, like I'm a marketer but suddenly I've got the skills of a data scientist. You wouldn't have to become one, you use the AI tools. It frees you up for the creative stuff.

Speaker 1: 8:56

That's pretty wild, yeah. What else does this new learning loop do for us?

Speaker 2: 8:59

It boosts engagement. Let's be real no one loves boring, repetitive tasks.

Speaker 1: 9:05

Yeah, the soul crushing stuff.

Speaker 2: 9:08

AI can handle. That we get to focus on the fulfilling work. That we get to focus on the fulfilling work More productive, less burned out Exactly.

Speaker 1: 9:14

And then there's the idea of ownership.

Speaker 2: 9:15

Ownership of what? Of the change? Empowering people to be the drivers, not just along for the ride.

Speaker 1: 9:20

Instead of AI dictating everything.

Speaker 2: 9:22

We get to explore, experiment, find innovative solutions. We own it.

Speaker 1: 9:26

More control over our work, our future.

Speaker 2: 9:29

Exactly. People feel part of the solution. They embrace the change, give their best ideas.

Speaker 1: 9:35

Makes a lot of sense. So we've covered a ton here. This new learning loop, ai's evolution. What are some key takeaways for our listeners as we step into this new world? Wow, we've really gone deep on this one, haven't we? Ai autonomy, cognitive, digital brains.

Speaker 2: 9:51

Personified businesses. Robots with LLMs.

Speaker 1: 9:55

It's a lot to take in. It makes you think about the future.

Speaker 2: 9:58

It does, and what strikes me is this isn't just like small steps anymore you know, it feels like a whole different world. It is how we work, how we live, how we even use tech is changing fundamentally.

Speaker 1: 10:10

And with big changes come big challenges right. What are some things we've got to be careful about?

Speaker 2: 10:14

Well, the report brought up that customer engagement crisis if businesses don't.

Speaker 1: 10:18

Yeah, if AI is just generic.

Speaker 2: 10:19

People tune out. We all want that connection even from AI, you know Authenticity.

Speaker 1: 10:25

Makes sense. And then there's the trust issue, which is huge. How do we ensure AI is used ethically, Especially if it gets more? You know?

Speaker 2: 10:34

Independent Exactly.

Speaker 1: 10:36

It's tough, but I keep coming back to that new learning loop idea.

Speaker 2: 10:39

Oh yeah, that was a good one.

Speaker 1: 10:40

Empowering people to work with AI, learn from it, guide it. Maybe that's how we make sure it benefits everyone. I think you're right on there.

Speaker 2: 10:50

It's not us versus the machines, it's a partnership, exactly Humans and machines creating something better together.

Speaker 1: 10:55

I like that a lot, yeah. So, as we wrap up this deep dive, what's the one big thing you want our listeners to walk away with?

Speaker 2: 11:01

AI has crazy potential, but it comes with big questions Trust, ethics, what happens to jobs?

Speaker 1: 11:07

The big stuff.

Speaker 2: 11:08

Yeah, we're at this point where the choices we make now are going to shape the whole future, you know.

Speaker 1: 11:14

No pressure, right. So here's a final thought I'll leave everyone with If you could design your own AI agent.

Speaker 2: 11:21

Ooh, good one.

Speaker 1: 11:22

What would it do for you, what personality would it have and how would you make sure it acted according to your values?

Speaker 2: 11:27

That's worth pondering.

Speaker 1: 11:29

It is Thanks for joining us on this deep dive. Everyone, Stay tuned for more explorations into the world of AI.