The AI-powered class divide: will the future be a technocratic utopia or a dystopian nightmare?

The AI-powered class divide: will the future be a technocratic utopia or a dystopian nightmare?

The AI-powered class divide: will the future be a technocratic utopia or a dystopian nightmare? | AI this week in the news; use cases; tools for the techies


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???What's the biggest obstacle to ensuring responsible AI?

?? The AI time bomb: How data poisoning could corrupt our future

?? Maildrop 19.11.24: A proactive approach to mitigating LLM-powered XSS attacks

?? How to build with AI agents | A conclusion for the AI virtual agents series

?? Bridging the gap: ensuring AI safety in a future-proof infrastructure

?? Gen AI case study: Coca-Cola, transforming marketing with AI-generated content



Hello, Legends,

Thank you for reading and sharing the weekly digest of Wild Intelligence.

The technological revolution has the potential for profound inequality. Access to and control of LLMs is likely to be concentrated in the hands of a select few—powerful corporations, wealthy individuals, and governments.

This concentration of power could create a new class divide, where those who control AI wield unprecedented influence while those who do not are left behind in a world increasingly shaped by algorithms they cannot understand or control.

Imagine a future where AI systems owned and operated by a privileged elite mediate essential services, economic opportunities, and even political discourse.

This could lead to a society where a select few enjoy the benefits of AI.

At the same time, the majority are left to navigate a complex and opaque digital landscape, vulnerable to manipulation and exploitation.

The fundamental question we must address is how to ensure that AI's transformative power benefits all of humanity, not just a privileged few.

This is not merely a technical challenge but a question of social justice and democratic values.

[Continue reading on Wild Intelligence]


The essence of this weekly publication is inherently embedded in this mindset: to bridge the gap between traditional mechanisms and increasingly sophisticated actions.

Each post is specially conceived to help business leaders frame the context of Decision Intelligence?in the AI era. As I deepen my work, I bring new things I am excited to share.

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Fast access to our weekly posts (tap the links for fast access):

???What's the biggest obstacle to ensuring responsible AI?

?? The AI time bomb: How data poisoning could corrupt our future

?? Maildrop 19.11.24: A proactive approach to mitigating LLM-powered XSS attacks

?? How to build with AI agents | A conclusion for the AI virtual agents series

?? Bridging the gap: ensuring AI safety in a future-proof infrastructure

?? Gen AI case study: Coca-Cola, transforming marketing with AI-generated content


(New weekly) Explore more on Wild Intelligence [Extended]

Building a responsible AI-powered threat intelligence framework


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More from the Wild Intelligence week

???Poll, vote now: What's your biggest concern about AI governance?

AI Governance Gap: 95% of firms haven't implemented frameworks

A recent study revealed a startling statistic: 95% of companies haven't implemented AI governance frameworks. This raises critical questions about the responsible development and deployment of AI.

Why is AI governance crucial?

  • Ethical considerations
  • Risk management
  • Public trust
  • Long-term/Efficiency and sustainability

What are the potential consequences of this governance gap?

  • Increased bias and discrimination
  • Erosion of privacy
  • Loss of control and accountability
  • Reputational damage

What steps can organizations take to address this gap?

  • Develop a comprehensive AI governance framework
  • Prioritize data quality and bias mitigation
  • Establish clear lines of responsibility
  • Promote transparency and explainability
  • Stay informed about evolving regulations


Poll: What's your biggest concern about AI governance?

A) Ensuring fairness and preventing bias in AI systems.

B) Protecting privacy and data security in AI applications.

C) Maintaining human oversight and control over AI.

D) Balancing innovation with ethical considerations in AI development.


What do you think? Tell us here.


?? The AI time bomb: How data poisoning could corrupt our future (Online course practice for decision leaders)

The "Building safe intelligence systems" delves into the critical aspects of AI safety and security, providing you with the knowledge and tools to navigate this rapidly evolving landscape.

The "Building safe intelligence systems" delves into the critical aspects of AI safety and security, providing you with the knowledge and tools to navigate this rapidly evolving landscape. We explore:

  • The ethical foundations of AI: Understanding the values and principles that should guide AI development and deployment.
  • Mitigating AI threats: Identifying and addressing potential biases, vulnerabilities, and unintended consequences.
  • Building robust and resilient AI systems: Developing secure AI architectures and implementing safeguards against adversarial attacks.
  • Fostering collaboration and transparency: Creating open and inclusive AI governance and knowledge sharing processes.

[Continue reading on Wild Intelligence]


?? Maildrop 19.11.24: A proactive approach to mitigating LLM-powered XSS attacks


Continue reading on Wild Intelligence

A deeper dive: mitigating LLM-powered XSS attacks

Cross-Site Scripting (XSS) attacks exploit vulnerabilities in web applications to inject malicious scripts into web pages.

These scripts can steal sensitive information, hijack user sessions, or redirect users to malicious websites.

Integrating LLMs with XSS attacks can significantly enhance their potency and evasiveness.

[Continue reading on Wild Intelligence]


?? How to build with AI agents | A conclusion for the AI virtual agents series


Continue reading on Wild Intelligence

We've journeyed through the fascinating landscape of virtual agents, from their fundamental definitions and diverse types to the intricate technologies that power their intelligence and the ethical considerations that guide their development.

We've explored how to craft compelling personas, build interactive experiences, and integrate these digital beings into the fabric of our digital world.

But this is just the beginning.

The future of virtual agents is brimming with possibilities, fueled by rapid advancements in AI and a growing understanding of human-computer interaction.

[Continue reading on Wild Intelligence]


?? Bridging the gap: ensuring AI safety in a future-proof infrastructure


Continue reading on Wild Intelligence

As we transition from exploring the foundational elements of AI adoption to building a future-proof infrastructure, one critical aspect must remain at the forefront: AI safety.

Without a steadfast commitment to safety, even the most sophisticated infrastructure can become a liability, jeopardizing your organization's reputation, customer trust, and ultimately, its success.

"The saddest aspect of life right now is that science gathers knowledge faster than society gathers wisdom." - Isaac Asimov

[Continue reading on Wild Intelligence]


?? Gen AI case study: Coca-Cola, transforming marketing with AI-generated content


Continue reading on Wild Intelligence

Coca-Cola used generative AI to create unique artwork that blended their classic branding with user-generated content.

This allowed them to personalize marketing campaigns on a massive scale. Imagine seeing a Coke ad featuring your artwork alongside iconic Coke imagery!

[Continue reading on Wild Intelligence]


?? AI news and resources: the things to read, ideas, and everything else

  • #Google is reportedly working on Project Jarvis, an AI agent that could revolutionize web browsing by taking over tasks like shopping, research, and booking flights. This consumer-focused tool aims to assist users within Google Chrome, operating directly on their devices with close user supervision. [LINK]
  • #Microsoft has unveiled Magentic-One, a versatile multi-agent AI system designed to tackle complex, real-world tasks through collaboration among specialized agents. This new tool is built on Microsoft AutoGen, an open-source framework for multi-agent applications, and is structured to efficiently handle a variety of open-ended tasks, whether it’s web navigation, file management, or coding. [LINK]
  • #Meta is developing an AI-powered search engine that aims to reduce its reliance on Google and Bing, allowing it to deliver real-time information within Meta AI conversations across platforms like Facebook, Instagram, and WhatsApp. This initiative reflects Meta's broader vision to build an independent AI ecosystem capable of powering its services without depending on competitors. [LINK]


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LinkedIn posts

Some of the things I share, like, or just support:

  • Acquisition and Exit Strategies are rarely discussed as a long-term strategic priority inside startups by Fred Destin

  • Want to become a top AI Developer? Intel just released a new series of lectures, code samples, and videos to put you up to speed via Eric Vyacheslav


Last week's news:

The AI art paradox: will machines kill human creativity?


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Thanks for reading, and see you next week!

See you next week.?Yael.


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Disclaimer

Wild Intelligence is circulated for informational and educational purposes only.

Wild Intelligence Research utilizes data and information from public, private and internal sources, including data from actual open data access. While we consider information from external sources reliable, we do not assume responsibility for its accuracy.

The views expressed herein are solely those of Wild Intelligence as of this report and are subject to change without notice. Wild Intelligence may have a significant financial interest in one or more of the positions, securities, or derivatives discussed. Those responsible for preparing this report receive compensation based upon various factors, including, among other things, the quality of their work and firm revenues.

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Yael Rozencwajg

Founder and CEO @ Wild Intelligence | AI safety, cybersecurity, enterprise AI mission

1 天前

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