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What AI Can Do, Its Risks, and Mitigation Strategies from the International AI Safety Report
Published 26 days ago • 4 min read
Welcome to your weekly AI Newsletter from AITechCircle!
I'm building and implementing AI solutions and sharing everything I learn along the way...
Check out the updates from this week! Please take a moment to share them with a friend or colleague who might benefit from these valuable insights!
Today at a Glance:
Key Actions from the International AI Safety Report
Generative AI Use cases repository
AI Weekly news and updates covering newly released LLMs
Courses and events to attend
Insights from the First International AI Safety Report
The first-ever International AI Safety Reportis backed by 30 countries, including the OECD, UN, and EU, and has just been published.
Source: AI Safety Report
This Report focuses on General-purpose AI, whose capabilities have rapidly advanced in the last few years.
It aims to inform policy discussions at the upcoming AI Action Summit in France, highlighting the rapid advancements in AI capabilities and the importance of managing emerging risks responsibly to leverage AI’s potential safely.
It answers three questions:
What can general-purpose AI do?
What are its risks?
How can these risks be mitigated?
The capabilities of general-purpose AI models have increased tremendously over the years. The chart below shows the level of expertise.
Source: International AI Safety Report
AI performance vs human performance
The performance of AI models on various benchmarks has advanced rapidly between 1998 and 2024.
Source: International Safety Report
Risks
The report categorizes risks associated with general-purpose AI into three categories:
Risks from malicious use
Harm to individuals through fake content
Attempts to manipulate public opinion
Cyberattacks / cyber offenses
Biological/chemical attacks
Risks from malfunctions
Reliability issues & Hallucinations
Biased model outputs
Loss of control risk (Active loss of control or passive loss of control)
Systemic risks
Labour market risks
Global AI R&D divide
Market concentration & single points of failure
Risks to the environment
Risks to privacy (training risks, use risks, intentional harm risks)
Risks of copyright infringement
Impact of open-weight general-purpose AI models on AI risks
Risks Management:
Evaluations must focus on broader risks from general-purpose AI, not just capabilities, to better inform risk management practices. Additionally, they must be improved across languages, cultures, modalities, and use cases.
5 stages of risk management need to be followed:
Risk identification
Risk assessment
Risk evaluation
Risk mitigation
Risk Governance
The Monitoring and Intervention Methods introduced in the report are system-level safeguards that can be applied to inputs, outputs, and models to monitor AI behaviors and, when necessary, intervene:
Source: AI Safety Report
Call to Action: Read the entire report , available here. It can be your blueprint for developing strategies for your organization to adopt AI responsibly, which can play a pivotal role in business growth.
Weekly News & Updates...
Last week's AI breakthroughs marked another leap forward in the tech revolution.
There is a news published that OpenEuroLLM, the first family of open source Large Language Models covering all EU languages, has earned the first STEP Seal, link
OmniHuman-1 from ByteDance is released to create lifelike human videos based on a single human image. A Diffusion Transformer-based AI model generates highly realistic human videos from a single image and audio/video input. link
OpenAI launched Deep Researcher, which can do multi-step research on the internet for complex tasks. link
Tülu 3 405B, an open-source post-training model, link
The Cloud: the backbone of the AI revolution
Cloud AI Resources Where You Need Them: Announcing NVIDIA L40S GPU on Oracle Compute Cloud@Customer and Oracle Private Cloud Appliance link
Designing sustainable AI: A deep dive into TPU efficiency and lifecycle emissions, link
Generative AI Use Case of the Week:
Several Generative AI use cases are documented, and you can access the library of Gen AI Use cases. Link
To identify capability levels at which AI models without additional mitigations could pose severe risk
Implement methods to achieve capability levels
Prepare and communicate mitigation plans before such capability levels are achieved.
When suitable, engage outside parties to help shape and direct our approach.
The Opportunity...
Podcast:
This week's Open Tech Talks episode 154 is "Generative AI Risks and Governance: What Business Leaders Need to Know with Terry Ziemniak." he is a Fractional CISO and Partner at TechCXO
Oumi is an entirely open-source platform that streamlines the entire lifecycle of foundation models, from data preparation and training to evaluation and deployment.
Data Sets...
The Tulu 3 SFT mixture , which contains 939,344 samples, was used to train the Tulu 3 series of models.
Other Technology News
Want to stay updated on the latest information in the field of Information Technology? Here's what you should know:
Jump, a leading provider of artificial intelligence (AI) solutions for financial advisors and other financial services providers, today announced the successful completion of a $20 million Series A funding round. link
And that’s a wrap!
Thank you, as always, for taking the time to read.
I would love to hear your thoughts. Please reply and share what you found most valuable this week. Your feedback means a lot to me.
Until next week,
Kashif Manzoor
The opinions expressed here are solely my conjecture based on experience, practice, and observation. They do not represent the thoughts, intentions, plans, or strategies of my current or previous employers or their clients/customers. The objective of this newsletter is to share and learn with the community.
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Kashif Manzoor
Learn something new every Saturday about #AI #ML #DataScience #Cloud and #Tech with Weekly Newsletter. Join with 278+ AI Enthusiasts!
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