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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Unite.AI

FEBRUARY 17, 2025

The wide availability of affordable, highly effective predictive and generative AI has addressed the next level of more complex business problems requiring specialized domain expertise, enterprise-class security, and the ability to integrate diverse data sources.

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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

NOVEMBER 28, 2024

How Open-Source Models and Joule Drive SAP's AI Solutions Open-source AI models have changed the field of AI by making advanced tools available to a wide community of developers. SAP makes sure that its AI products, including Joule, follow strict ethical guidelines and comply with data protection regulations.

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Unite.AI

NOVEMBER 25, 2024

Implementation Here’s how to implement a Singleton pattern in Python to manage configurations for an AI model: class ModelConfig: """ A Singleton class for managing global model configurations. """ This is especially useful in AI systems where the same process (e.g., """ self.

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Unite.AI

JANUARY 2, 2025

Developers can identify and correct biases when AI systems are explainable, creating fairer outcomes. For example, biased hiring algorithms trained on historical data have been found to favor male candidates for leadership roles. Tlu 3 offers a fresh and innovative approach to AI development by placing transparency at its core.

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Unite.AI

OCTOBER 23, 2024

LLM unlearning requires incremental methods that allow the model to update itself without undergoing a full retraining cycle. This necessitates the development of more advanced algorithms that can handle targeted forgetting without significant resource consumption. This is where unlearning becomes essential.

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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

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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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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Google Research AI blog

FEBRUARY 10, 2023

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. Hence, developing algorithms with improved efficiency, performance and speed remains a high priority as it empowers services ranging from Search and Ads to Maps and YouTube. You can find other posts in the series here.)

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Unite.AI

JANUARY 20, 2025

Transparency = Good Business AI systems operate using vast datasets, intricate models, and algorithms that often lack visibility into their inner workings. Transparency is non-negotiable because it: Builds Trust : When people understand how AI makes decisions, theyre more likely to trust and embrace it.

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Explainability Explainable AI AI AI 113

AI Weekly

SEPTEMBER 21, 2023

pitneybowes.com In The News How Google taught AI to doubt itself Today let’s talk about an advance in Bard, Google’s answer to ChatGPT, and how it addresses one of the most pressing problems with today’s chatbots: their tendency to make things up. [Get your FREE eBook.] Get your FREE eBook.] Get your FREE eBook.]

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IBM Journey to AI blog

DECEMBER 20, 2023

Even in cases where an ML model isn’t itself biased or faulty, deploying it in the wrong context can produce errors with unintended harmful consequences. That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. What is machine learning? temperature, salary).

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Unite.AI

MAY 27, 2024

Detecting fraud with AI Traditional fraud detection methods rely on rule-based systems that can only identify pre-programmed patterns. Also, ML algorithms can learn and adapt to new fraud tactics, making them more effective at combating emerging threats and helping enterprises stay ahead of evolving cyber risks.

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AWS Machine Learning Blog

MARCH 21, 2025

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices. samples/2003.10304/page_2.png"

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Towards AI

JANUARY 21, 2025

Despite sensationalized false positives, the way AI models are built (at least the publicly known ones) precludes even the possibility at present. Emotional intelligence would permit AI to respond to users in a more intuitive and empathetic way, whether by recognizing when a user is frustrated, happy, or anxious.

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IBM Journey to AI blog

JANUARY 10, 2024

In this article, we’ll discuss how AI technology functions and lay out the advantages and disadvantages of artificial intelligence as they compare to traditional computing methods. AI operates on three fundamental components: data, algorithms and computing power. What is artificial intelligence and how does it work?

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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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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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NVIDIA

MARCH 1, 2024

Developers of trustworthy AI understand that no model is perfect, and take steps to help customers and the general public understand how the technology was built, its intended use cases and its limitations. Privacy: Complying With Regulations, Safeguarding Data AI is often described as data hungry.

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Unite.AI

APRIL 3, 2024

Extensive AI tasks have transformed data centers from mere storage and processing hubs into facilities for training neural networks , running simulations, and supporting real-time inference. Their extraordinary parallel processing power ensures exceptional speed when training AI models on large datasets.

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Pickl AI

DECEMBER 15, 2024

AI-driven diagnostics improve accuracy in healthcare outcomes. Ethical considerations are crucial for responsible AI implementation. Real-World Applications of AI Artificial Intelligence (AI) is rapidly transforming various sectors by automating processes, enhancing efficiency, and enabling innovative solutions.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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ODSC - Open Data Science

MARCH 12, 2025

However, with this growth came concerns around misinformation, ethical AI usage, and data privacy, fueling discussions around responsible AI deployment. Takeaway: The rapid evolution of LLMs suggests a shift from model development to domain-specific applications and ethical considerations.

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Marktechpost

JANUARY 7, 2024

The concept of AI hallucinations raises discussions about the quality and scope of data used in training AI models and the ethical, social, and practical concerns they may pose. Essentially, if the underlying data or the methods used for training and generation are flawed, AI models may produce incorrect predictions.

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Flipboard

APRIL 1, 2025

To improve factual accuracy of large language model (LLM) responses, AWS announced Amazon Bedrock Automated Reasoning checks (in gated preview) at AWS re:Invent 2024. Automated Reasoning checks in Amazon Bedrock Guardrails provides an end-to-end solution for validating AI model outputs using mathematically sound principles.

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Aiiot Talk

AUGUST 9, 2023

A quick question for a coworker could take hours to get an email response. AI can reduce the need to ask coworkers questions by making it easier for WFH employees to find answers and assistance independently. ChatGPT and AI-powered search are great examples of this.

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Unite.AI

JANUARY 12, 2024

These innovations signal a shifting priority towards multimodal, versatile generative models. Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. Imbalanced datasets and annotation inconsistencies lead to bias.

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AWS Machine Learning Blog

DECEMBER 11, 2024

The AI system evaluates each question according to the established guidelines and generates a structured output that includes detailed reasoning along with a rating on a three-point scale, where 1 indicates invalid, 2 indicates partially valid, and 3 indicates valid. This rating is later used for revising the questions.

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ODSC - Open Data Science

AUGUST 8, 2024

The new Automated Responsible AI Testing Capabilities in the Generative AI Lab empower non-technical domain experts to define, run, and share test suites for AI model bias, fairness, robustness, and accuracy. There has long been a gap between how AI models should be tested and how they often are.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. For example, we provide the following image of a cake to the model to extract the recipe.

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Unite.AI

JULY 12, 2024

Between 2024 and 2030, the AI market is expected to grow at a CAGR of 36.6% Needless to say, the pool of AI-driven solutions will only expand— more choices, more decisions. When AI solutions are tied to specific providers, it limits flexibility, constraining companies from adapting to new technologies as they emerge.

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AWS Machine Learning Blog

FEBRUARY 25, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Marktechpost

AUGUST 7, 2024

Improvements in machine learning algorithms, computational capabilities, and the availability of large datasets drive these advancements. Despite the progress, the field faces significant challenges regarding transparency and reproducibility, which are critical for scientific validation and public trust in AI systems.

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Unite.AI

SEPTEMBER 2, 2024

Examples of such policies include the EU's AI Act , which aims to regulate high-risk AI applications, and the U.S. Algorithmic Accountability Act , which focuses on transparency and fairness in AI systems. To achieve this, public sector agencies are crafting policies that address these challenges.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

And using AI ethically isn’t just the right thing for businesses to do—it’s also something consumers want. In fact, 86% of businesses believe customers prefer companies that use ethical guidelines and are clear about how they use their data and AI models, according to the IBM Global AI Adoption Index.

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