Unite.AI

JULY 12, 2024

The learning algorithms need significant computational power to train generative AI models with large datasets, which leads to high energy consumption and a notable carbon footprint. In this article, we explore the challenges of AI training and how JEST tackles these issues.

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Unite.AI

MAY 30, 2024

Artificial Intelligence (AI) has become a pivotal force in the modern era, significantly impacting various domains. The emergence of low/No-code platforms has introduced accessible alternatives for AI development. By lowering technical barriers, these platforms enable more people to contribute to AI development.

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Unite.AI

MARCH 14, 2025

What inspired you to found AI Squared, and what problem in AI adoption were you aiming to solve? With my background at the NSA, where I saw firsthand that nearly 90% of AI models never made it to production, I founded AI Squared to address the critical gap between AI development and real-world deployment.

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AI News

SEPTEMBER 5, 2024

The treaty acknowledges the potential benefits of AI – such as its ability to boost productivity and improve healthcare – whilst simultaneously addressing concerns surrounding misinformation, algorithmic bias, and data privacy.

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AI Weekly

JUNE 29, 2023

In the News Next DeepMind's Algorithm To Eclipse ChatGPT IN 2016, an AI program called AlphaGo from Google’s DeepMind AI lab made history by defeating a champion player of the board game Go. The study reveals that 20% of male users are already using AI to improve their online dating experiences. Powered by pluto.fi

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Unite.AI

NOVEMBER 28, 2024

Building Trustworthy and Future-Focused AI with SAP SAP is committed to building AI solutions with a focus on responsibility and transparency. With the excessive spread of information, issues like data privacy, fairness in algorithms, and clarity in how AI works are more important than ever.

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AI News

APRIL 19, 2024

The tech giant is releasing the models via an “open by default” approach to further an open ecosystem around AI development. Llama 3 will be available across all major cloud providers, model hosts, hardware manufacturers, and AI platforms.

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Unite.AI

JANUARY 2, 2025

By setting a new benchmark for ethical and dependable AI , Tlu 3 ensures accountability and makes AI systems more accessible and relevant globally. The Importance of Transparency in AI Transparency is essential for ethical AI development. This is particularly important in areas like hiring.

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IBM Journey to AI blog

MARCH 27, 2024

In fact, they are central to the innovation and continued development of this field. Women have been challenging the outdated notion that AI development solely belongs to those who code and construct algorithms—a field that, while shifting, remains significantly male-dominated—for years.

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AI News

SEPTEMBER 22, 2023

In a stark address to the UN, UK Deputy PM Oliver Dowden has sounded the alarm on the potentially destabilising impact of AI on the world order. Speaking at the UN General Assembly in New York, Dowden highlighted that the UK will host a global summit in November to discuss the regulation of AI.

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Google Research AI blog

MARCH 16, 2023

The Impact Lab team, part of Google’s Responsible AI Team , employs a range of interdisciplinary methodologies to ensure critical and rich analysis of the potential implications of technology development. We examine systemic social issues and generate useful artifacts for responsible AI development.

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AI News

OCTOBER 24, 2024

This support aims to enhance the UK’s infrastructure to stay competitive in the AI market. Public sector integration: The UK Government Digital Service (GDS) is working to improve efficiency using predictive algorithms for future pension scheme behaviour.

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Unite.AI

JULY 14, 2023

Drug-Discovery Tools Turned Chemical Weapons AI-driven drug discovery facilitates the development of new treatments and therapies. But, the ease with which AI algorithms can be repurposed magnifies a looming catastrophe. Ethical considerations should be an integral part of the AI development life cycle.

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Chatbots Life

MAY 23, 2023

Responsible AI — deployment framework I asked ChatGPT and Bard to share their thoughts on what policies governments have to put in place to ensure responsible AI implementations in their countries. They should also work to raise awareness of the importance of responsible AI among businesses and organizations.

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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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IBM Journey to AI blog

JANUARY 15, 2024

The differences between generative AI and traditional AI To understand the unique challenges that are posed by generative AI compared to traditional AI, it helps to understand their fundamental differences. Teams should have the ability to comprehend and manage the AI lifecycle effectively.

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Unite.AI

MARCH 27, 2024

Back then, people dreamed of what it could do, but now, with lots of data and powerful computers, AI has become even more advanced. Along the journey, many important moments have helped shape AI into what it is today. Today, AI benefits from the convergence of advanced algorithms, computational power, and the abundance of data.

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AI News

FEBRUARY 10, 2025

We must ensure that AIs power reaches beyond Silicon Valley to all corners of the globe, creating opportunities for everyone to thrive. From the barista who makes your morning latte to the mechanic fixing your car, they all have to understand how AI impacts them and, crucially, why AI is a human issue.

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Unite.AI

JULY 24, 2024

In 2017, Apple introduced Core ML , a machine learning framework that allowed developers to integrate AI capabilities into their apps. Core ML brought powerful machine learning algorithms to the iOS platform, enabling apps to perform tasks such as image recognition, NLP, and predictive analytics.

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IBM Journey to AI blog

JANUARY 10, 2024

But even with the myriad benefits of AI, it does have noteworthy disadvantages when compared to traditional programming methods. AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended.

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Unite.AI

DECEMBER 1, 2023

Machine learning , a subset of AI, involves three components: algorithms, training data, and the resulting model. An algorithm, essentially a set of procedures, learns to identify patterns from a large set of examples (training data). This obscurity makes it challenging to understand the AI's decision-making process.

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AWS Machine Learning Blog

JANUARY 28, 2025

By investing in robust evaluation practices, companies can maximize the benefits of LLMs while maintaining responsible AI implementation and minimizing potential drawbacks. To support robust generative AI application development, its essential to keep track of models, prompt templates, and datasets used throughout the process.

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ODSC - Open Data Science

NOVEMBER 21, 2024

Alfred Spector: Beyond Models — Applying AI and Data Science Effectively In the rapidly evolving fields of AI and data science, the emphasis often falls on data collection, model building, and machine learning algorithms.

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Unite.AI

JULY 9, 2024

This shift democratizes AI , encouraging collaboration and driving significant advancements. Due to the substantial resources required, AI development has traditionally been dominated by well-funded tech giants and elite institutions. Open models are vital for AI systems' transparency, trust, and accountability.

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Marktechpost

DECEMBER 24, 2023

This ethical consciousness adds depth to the paper’s contributions, aligning it with broader discussions on responsible AI development and deployment. In conclusion, the paper significantly addresses the multifaceted safety challenges in LLMs.

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TensorFlow

APRIL 4, 2023

Posted by Bhaktipriya Radharapu, Software Engineer, Google Research One of the key goals of Responsible AI is to develop software ethically and in a way that is responsive to the needs of society and takes into account the diverse viewpoints of users.

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Unite.AI

APRIL 9, 2024

As organizations strive for responsible and effective AI, Composite AI stands at the forefront, bridging the gap between complexity and clarity. The Need for Explainability The demand for Explainable AI arises from the opacity of AI systems, which creates a significant trust gap between users and these algorithms.

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Marktechpost

OCTOBER 23, 2024

Differentiating human-authored content from AI-generated content, especially as AI becomes more natural, is a critical challenge that demands effective solutions to ensure transparency. Conclusion Google’s decision to open-source SynthID for AI text watermarking represents a significant step towards responsible AI development.

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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.

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NYU Center for Data Science

DECEMBER 12, 2023

In an era where algorithms determine everything from creditworthiness to carceral sentencing, the imperative for responsible innovation has never been more urgent. The Center for Responsible AI (NYU R/AI) is leading this charge by embedding ethical considerations into the fabric of artificial intelligence research and development.

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Flipboard

DECEMBER 31, 2023

Moral and Ethical Judgment: AI algorithms can make decisions based on their programming, but they cannot truly understand the moral or ethical implications of those choices. This ability to weigh different factors and make decisions that are aligned with human values is essential for responsible AI development.

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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. Through systematic validation and continuous refinement, organizations can make sure that their AI applications deliver consistent, accurate, and trustworthy results.

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NVIDIA

MARCH 1, 2024

Trustworthy AI initiatives recognize the real-world effects that AI can have on people and society, and aim to channel that power responsibly for positive change. What Is Trustworthy AI? Trustworthy AI is an approach to AI development that prioritizes safety and transparency for those who interact with it.

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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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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. Together with strict regulations underway, responsible AI development has become paramount, with an emphasis on transparency, safety, and sustainability.

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Marktechpost

JANUARY 7, 2024

Bias and Discrimination : If AI algorithms are trained on biased or discriminatory data, they can perpetuate and amplify existing biases, leading to unfair and discriminatory outcomes, especially in areas like hiring, lending, or law enforcement.

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Towards AI

NOVEMBER 14, 2023

Hence, with the right set of safeguards, we should be able to push the limits ethically and responsibly. Here are a few considerations and frameworks that will aid in responsible AI development — for those who want to be part of the solution. Microsoft has created ‘Responsible AI principles’.

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