AI News

NOVEMBER 15, 2024

The release of the “First Draft General-Purpose AI Code of Practice” marks the EU’s effort to create comprehensive regulatory guidance for general-purpose AI models. By acknowledging the continuously evolving nature of AI technology, the draft recognises that this taxonomy will need updates to remain relevant.

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AI News

DECEMBER 5, 2024

Dr Swami Sivasubramanian, VP of AI and Data at AWS, said: “Amazon Bedrock continues to see rapid growth as customers flock to the service for its broad selection of leading models, tools to easily customise with their data, built-in responsible AI features, and capabilities for developing sophisticated agents.

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IBM Journey to AI blog

JUNE 20, 2024

A robust framework for AI governance The combination of IBM watsonx.governance™ and Amazon SageMaker offers a potent suite of governance, risk management and compliance capabilities that streamline the AI model lifecycle. In highly regulated industries like finance and healthcare, AI models must meet stringent standards.

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IBM Journey to AI blog

FEBRUARY 8, 2023

Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 Achieving Responsible AI As building and scaling AI models for your organization becomes more business critical, achieving Responsible AI (RAI) should be considered a highly relevant topic.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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Unite.AI

JULY 12, 2024

Although these advancements have driven significant scientific discoveries, created new business opportunities, and led to industrial growth, they come at a high cost, especially considering the financial and environmental impacts of training these large-scale models. Financial Costs: Training generative AI models is a costly endeavour.

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AI Weekly

DECEMBER 7, 2023

Powered by superai.com In the News Google says new AI model Gemini outperforms ChatGPT in most tests Google has unveiled a new artificial intelligence model that it claims outperforms ChatGPT in most tests and displays “advanced reasoning” across multiple formats, including an ability to view and mark a student’s physics homework.

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IBM Journey to AI blog

OCTOBER 12, 2023

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

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Unite.AI

OCTOBER 4, 2023

In this article, we’ll look at what AI bias is, how it impacts our society, and briefly discuss how practitioners can mitigate it to address challenges like cultural stereotypes. What is AI Bias? AI bias occurs when AI models produce discriminatory results against certain demographics.

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AI News

NOVEMBER 22, 2024

These contributions aim to strengthen the process and outcomes of red teaming, ultimately leading to safer and more responsible AI implementations. As AI continues to evolve, understanding user experiences and identifying risks such as abuse and misuse are crucial for researchers and developers.

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AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. In addition, editorial guidance on AI has been updated to note that ‘all AI usage has active human oversight.’

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IBM Journey to AI blog

MAY 9, 2023

A lack of confidence to operationalize AI Many organizations struggle when adopting AI. According to Gartner , 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted. Ready to explore more?

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Marktechpost

AUGUST 9, 2024

This document outlines the preparedness framework for assessing the model’s safety, including evaluations of its speech-to-speech capabilities, text and image processing, and potential societal impacts. Overall, the introduction of the GPT-4o System Card represents a significant advancement in the transparency and safety of AI models.

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AWS Machine Learning Blog

JANUARY 7, 2025

Generative AI applications should be developed with adequate controls for steering the behavior of FMs. Responsible AI considerations such as privacy, security, safety, controllability, fairness, explainability, transparency and governance help ensure that AI systems are trustworthy.

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AI News

APRIL 24, 2024

. “What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the ability to make a decision on what is the best model for their scenario,” said Sonali Yadav, Principal Product Manager for Generative AI at Microsoft.

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AI News

APRIL 19, 2024

Victor Botev, CTO and co-founder of Iris.ai, said: “With the global shift towards AI regulation, the launch of Meta’s Llama 3 model is notable. By embracing transparency through open-sourcing, Meta aligns with the growing emphasis on responsible AI practices and ethical development.

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Unite.AI

OCTOBER 23, 2024

While traditional data protection methods like encryption and anonymization provide some level of security, they are not always foolproof for large-scale AI models. LLM unlearning addresses privacy issues by ensuring that personal or confidential data can be removed from a model's memory.

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AI News

FEBRUARY 23, 2024

London-based AI lab Stability AI has announced an early preview of its new text-to-image model, Stable Diffusion 3. The advanced generative AI model aims to create high-quality images from text prompts with improved performance across several key areas. We believe in safe, responsible AI practices.

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IBM Journey to AI blog

APRIL 11, 2024

It “…provides a structured approach to the safe development, deployment and use of generative AI. In doing so, the framework highlights gaps and opportunities in addressing safety concerns, viewed from the perspective of four primary actors: AI model creators, AI model adapters, AI model users, and AI application users.”

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Unite.AI

JUNE 2, 2023

Statista reports that by 2024, the global AI market will generate a staggering revenue of around $3000 billion, compared to $126 billion in 2015. However, tech leaders are now warning us about the various risks of AI. These AI-backed developments are vulnerable due to many AI shortcomings that malicious agents can expose.

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AI News

OCTOBER 22, 2024

The models are free for non-commercial use and available to businesses with annual revenues under $1 million. The company emphasised its commitment to responsible AI development, implementing safety measures from the early stages. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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IBM Journey to AI blog

OCTOBER 2, 2023

The organization sought to explore a test case for job seekers, examining if AI models could help learners and workers identify and recognize their skills, and convey them in the form of digital credentials. Learn more about IBM’s AI ethics Explore more about IBM Consulting’s AI capabilities The post The U.S.

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Marktechpost

NOVEMBER 15, 2023

Microsoft has unveiled a significant expansion of its Azure AI Model Catalog , incorporating a range of foundation and generative AI models. Diverse Additions to the AI Catalog The Azure AI Model Catalog now includes 40 new models and introduces 4 new modalities, including text-to-image and image embedding capabilities.

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Unite.AI

MARCH 22, 2024

Cross-Modality Learning : Extending social learning beyond text to include images, sounds, and more could lead to AI systems with a richer understanding of the world, much like how humans learn through multiple senses. The focus would be on developing AI systems that can reason ethically and align with societal values.

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NVIDIA

MAY 1, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. ChatRTX also now supports ChatGLM3, an open, bilingual (English and Chinese) LLM based on the general language model framework.

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IBM Journey to AI blog

MAY 2, 2023

The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. We don’t need a pause to prioritize responsible AI. The stakes are simply too high, and our society deserves nothing less.

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Marktechpost

DECEMBER 6, 2023

Google’s latest venture into artificial intelligence, Gemini, represents a significant leap forward in AI technology. Unveiled as an AI model of remarkable capability, Gemini is a testament to Google’s ongoing commitment to AI-first strategies, a journey that has spanned nearly eight years.

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Unite.AI

DECEMBER 13, 2023

AI transforms cybersecurity by boosting defense and offense. However, challenges include the rise of AI-driven attacks and privacy issues. Responsible AI use is crucial. The future involves human-AI collaboration to tackle evolving trends and threats in 2024.

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John Snow Labs

SEPTEMBER 24, 2024

This talk covers recent regulation in this space, limitations that current Generative AI models have, and an automated testing framework that mitigates them. We describe the open-source LangTest library, which can automate the generation and execution of more than 100 types of Responsible AI tests.

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ODSC - Open Data Science

OCTOBER 21, 2024

As AI systems become increasingly embedded in critical decision-making processes and in domains that are governed by a web of complex regulatory requirements, the need for responsible AI practices has never been more urgent. But let’s first take a look at some of the tools for ML evaluation that are popular for responsible AI.

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Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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Flipboard

JULY 28, 2023

Zuckerberg also made the case for why it’s better for leading AI models to be “open source,” which means making the technology’s underlying code largely available for anyone to use. Some experts point out, for example, that we had the problem of misinformation even before AI existed in its current form.

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IBM Journey to AI blog

JULY 30, 2024

Data Scientists will typically help with training, validating, and maintaining foundation models that are optimized for data tasks. Data Engineer: A data engineer sets the foundation of building any generating AI app by preparing, cleaning and validating data required to train and deploy AI models. Use watsonx.ai

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Unite.AI

SEPTEMBER 18, 2024

and position Grok-2 as a strong competitor to other leading AI models. xAI has not publicly detailed specific safety measures implemented in Grok-2, leading to discussions about responsible AI development and deployment. MMLU (Massive Multitask Language Understanding): 87.5% MMLU-Pro: 75.5% MathVista: 69.0% DocVQA: 93.6%

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IBM Journey to AI blog

SEPTEMBER 5, 2024

If implemented responsibly, AI has the transformative potential to offer personalized learning and evaluation experiences to enhance fairness in assessments across student populations that include marginalized groups. Primary effects describe the intended, known effects of the product, in this case an AI model.

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Unite.AI

MAY 13, 2024

Let’s look at the growing risk of information leakage in GenAI solutions and the necessary preventions for a safe and responsible AI implementation. What Is Data Leakage in Generative AI?

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Unite.AI

JULY 1, 2024

It doesn’t matter if you are an online consumer or a business using that information to make key decisions – responsible AI systems allow all of us to fully and better understand information, as you need to ensure what is coming out of Generative AI is accurate and reliable. This is all provided at optimal cost to enterprises.

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