The AI trade-off
Yael Rozencwajg
Founder and CEO @ Wild Intelligence | AI safety, cybersecurity, enterprise AI mission
Hello, Legends,
Thank you for reading and sharing the weekly digest of Wild Intelligence.
The rapid increase in Fortune 500 companies identifying AI as a risk factor is a stark reminder that while AI offers immense opportunities, it also presents significant challenges.
Businesses are becoming increasingly aware of the potential downsides, such as data privacy concerns, algorithmic bias, and the risk of job displacement.
Big Tech's panic over AI is likely a combination of factors:
It's a complex issue with no easy answers. While some concerns are valid, it's essential to view these statements with a critical eye.
But there’s something else.
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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More from the Wild Intelligence week
?? Unbundling AI: The surveillance nexus: a dystopian communication system
In a world increasingly interconnected, the boundaries between public and private discourse have blurred.
As technology advances, our conversations, thoughts, and even dreams become data points ripe for collection and analysis.
The surveillance nexus, a dystopian construct, embodies this chilling reality, where every word and keystroke is monitored, analyzed, and potentially used against us.
But is this the price we pay for the convenience of a connected world?
?? Maildrop: Keeping LLM data fresh: a constant challenge
LLMs have made significant strides in recent years, demonstrating impressive capabilities in text generation, translation, and coding tasks.
However, their performance relies heavily on the quality and quantity of data they are trained on.
LLMs require a steady stream of accurate, recent internet information to excel at problem-solving. At some point, LLMs' ability to provide accurate, up-to-date information is compromised.
?? How to build with AI agents | AI agents: a consensus built on bias?
How can we ensure that AI agents striving for consensus do not inadvertently perpetuate harmful biases?
Or stereotypes in their training data?
The allure of consensus among AI agents is undeniable.
It promises efficiency, resilience, and the ability to tackle complex problems that would be insurmountable for individual agents.
Yet, this pursuit is fraught with challenges.
?? Data and trends: AI's hidden prejudice: your system's biases lead to unfair decisions
AI, once hailed as a beacon of objectivity, is increasingly recognized as a conduit for human biases.
These biases, often deeply ingrained in the data used to train AI models, can lead to unfair and discriminatory outcomes.
The adage "garbage in, garbage out" is particularly relevant to AI. If the data used to train an AI model is biased, the model will inevitably learn those biases.
?? AI case studies: Does innovation trump compliance in the name of profit?
The relentless pursuit of profit has become the lifeblood of modern corporations.
In this quest for financial gain, two powerful forces often collide: innovation and compliance. Innovation, the engine of progress, propels businesses forward with groundbreaking ideas, products, and services.
On the other hand, compliance, the guardian of ethics and law, ensures businesses operate within societal boundaries.
?? Weekly digest: Does our insatiable appetite for data-driven insights feed a monster?
There's a trade-off between data-driven innovation and security risks
The siren song of data-driven decision-making has captivated businesses worldwide.
The promise of uncovering hidden patterns, predicting future trends, and optimizing operations is undeniable.
Yet, in our relentless pursuit of these insights, have we inadvertently created a monster? A dystopian reality?
?? AI news and resources: the things to read, ideas, and everything else
LinkedIn posts
Some of the things I share
Last week's news:
What we do
We build Wild Intelligence, an AI-cyber intelligence company for the next generation of enterprises.
But not the one you think of.
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???For you #fyp
How do you take advantage of technology advancements?
If you feel like sharing, leave a two-liner in the comments
- Who do you help? What do you help them do?
- Feel free to include a link to your business for others to see.
Go ahead and get some exposure and connect with like-minded folks.
Don't be shy.
Thanks for reading, and see you next week!
See you next week.?Yael.
Information
?? Wild Intelligence on LinkedIn?is a weekly publication of insights, tools, and community to equip the next generation of enterprises with the decision intelligence needed in the age of artificial intelligence. Promote yourself to 24,000+ subscribers by sponsoring my newsletter.
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.
#AI #cybersecurity #LinkedIn #generativeAI #genAI
Founder and CEO @ Wild Intelligence | AI safety, cybersecurity, enterprise AI mission
1 个月I shared some good stuff this week in here: https://bit.ly/WI-substack.