IBM Journey to AI blog

OCTOBER 12, 2023

But the implementation of AI is only one piece of the puzzle. 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

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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IBM Journey to AI blog

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. Financial/criminal: Violations of existing and emerging data and AI regulations.

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IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. ” Are foundation models trustworthy?

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Pickl AI

OCTOBER 8, 2024

Summary: This blog discusses Explainable Artificial Intelligence (XAI) and its critical role in fostering trust in AI systems. Introduction Artificial Intelligence (AI) is becoming increasingly integrated into various aspects of our lives, influencing decisions in healthcare, finance, transportation, and more.

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TransOrg Analytics

FEBRUARY 11, 2025

These are just a few ways Artificial Intelligence (AI) silently influences our daily lives. As AI continues integrating into every aspect of society, the need for Explainable AI (XAI) becomes increasingly important. What is Explainable AI? Why is Explainable AI Important?

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NYU Center for Data Science

JUNE 16, 2023

A PhD candidate in the Machine Learning Group at the University of Cambridge advised by Adrian Weller , Umang will continue to pursue research in trustworthy machine learning, responsible artificial intelligence, and human-machine collaboration at NYU. His work has been covered in press (e.g., UK Parliament POSTnote , NIST ).

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IBM Journey to AI blog

DECEMBER 4, 2023

In addition, the CPO AI Ethics Project Office supports all of these initiatives, serving as a liaison between governance roles, supporting implementation of technology ethics priorities, helping establish AI Ethics Board agendas and ensuring the board is kept up to date on industry trends and company strategy.

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Towards AI

OCTOBER 19, 2024

Originally published on Towards AI. Why We’re Demanding Answers from Our Smartest Machines Image generated by Gemini AI Artificial intelligence is making decisions that impact our lives in profound ways, from loan approvals to medical diagnoses. What is Explainability AI (XAI)?

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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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Viso.ai

FEBRUARY 12, 2024

True to its name, Explainable AI refers to the tools and methods that explain AI systems and how they arrive at a certain output. Artificial Intelligence is used in every sphere of today’s digital world. Why do we need Explainable AI (XAI)? SHAP is short for Shapley Additive Explanations.

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Unite.AI

JANUARY 12, 2024

The field of artificial intelligence (AI) has seen tremendous growth in 2023. Generative AI, which focuses on creating realistic content like images, audio, video and text, has been at the forefront of these advancements. Enhancing user trust via explainable AI also remains vital.

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NVIDIA

MARCH 1, 2024

Artificial intelligence, like any transformative technology, is a work in progress — continually growing in its capabilities and its societal impact. 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.

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ODSC - Open Data Science

JUNE 7, 2023

Interactive Explainable AI Meg Kurdziolek, PhD | Staff UX Researcher | Intrinsic.ai Although current explainable AI techniques have made significant progress toward enabling end-users to understand the why behind a prediction, to effectively build trust with an AI system we need to take the next step and make XAI tools interactive.

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ODSC - Open Data Science

MARCH 20, 2025

Sessions: Keynotes: Eric Xing, PhD, Professor at CMU and President of MBZUAI: Toward Public and Reproducible Foundation Models Beyond Lingual Intelligence Book Signings: Sinan Ozdemir: Quick Start Guide to Large LanguageModels Matt Harrison: Effective Pandas: Patterns for Data Manipulation Workshops: Adaptive RAG Systems with Knowledge Graphs: Building (..)

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Pickl AI

FEBRUARY 17, 2025

Approximately 44% of organisations express concerns about transparency in AI adoption. The “black box” nature of many algorithms makes it difficult for stakeholders to understand how decisions are made, leading to reduced trust in AI systems.

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Pickl AI

JULY 14, 2023

Artificial Intelligence has been able to gain immense momentum today and is transforming every industry in the world. Even in the time of pandemic, AI has enabled in providing technical solutions to the people in terms of information inflow. Artificial Intelligence and the Future of Humans 1.

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ODSC - Open Data Science

FEBRUARY 27, 2024

Interactive Explainable AI Meg Kurdziolek, PhD | Staff UX Researcher | Intrinsic.ai Although current explainable AI techniques have made significant progress toward enabling end-users to understand the why behind a prediction, to effectively build trust with an AI system we need to take the next step and make XAI tools interactive.

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Pickl AI

SEPTEMBER 17, 2024

It leverages Machine Learning, natural language processing, and predictive analytics to identify malicious activities, streamline incident response, and optimise security measures. Introduction In the rapidly evolving landscape of cybersecurity, Artificial Intelligence (AI) has emerged as a powerful tool in the fight against cyber threats.

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Marktechpost

DECEMBER 11, 2024

Image Source : LG AI Research Blog ([link] Responsible AI Development: Ethical and Transparent Practices The development of EXAONE 3.5 models adhered to LG AI Research s Responsible AI Development Framework, prioritizing data governance, ethical considerations, and risk management. model scored 70.2.

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ODSC - Open Data Science

FEBRUARY 18, 2025

As AI capabilities grow, many traditional knowledge-based roles may shift from execution to oversight and decision-making. AI Data Curators: Given the critical importance of high-quality data for training AI models, AI data curators specialize in sourcing, cleaning, and organizing data to ensure its suitability for AI applications.

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AI News

APRIL 25, 2024

As artificial intelligence continues to rapidly advance, ethical concerns around the development and deployment of these world-changing innovations are coming into sharper focus. Pryon also emphasises explainable AI and verifiable attribution of knowledge sources.

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ODSC - Open Data Science

JUNE 8, 2023

Keynotes Both in-person and virtually, we had some amazing keynote speakers that told the audience about their research, expertise, use cases, or state-of-the-art developments.

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ODSC - Open Data Science

FEBRUARY 25, 2025

Topics Include: Advanced ML Algorithms & EnsembleMethods Hyperparameter Tuning & Model Optimization AutoML & Real-Time MLSystems Explainable AI & EthicalAI Time Series Forecasting & NLP Techniques Who Should Attend: ML Engineers, Data Scientists, and Technical Practitioners working on production-level ML solutions.

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Pickl AI

AUGUST 1, 2024

This blog covers their job roles, essential tools and frameworks, diverse applications, challenges faced in the field, and future directions, highlighting their critical contributions to the advancement of Artificial Intelligence and machine learning.

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Snorkel AI

MARCH 19, 2024

LLMs are already revolutionizing how businesses harness Artificial Intelligence (AI) in production. Vertex AI, Google’s comprehensive AI platform, plays a pivotal role in ensuring a safe, reliable, secure, and responsible AI environment for production-level applications.

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Snorkel AI

MARCH 19, 2024

LLMs are already revolutionizing how businesses harness Artificial Intelligence (AI) in production. Vertex AI, Google’s comprehensive AI platform, plays a pivotal role in ensuring a safe, reliable, secure, and responsible AI environment for production-level applications.

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Pickl AI

DECEMBER 29, 2024

Summary: Responsible AI ensures AI systems operate ethically, transparently, and accountably, addressing bias and societal risks. Through ethical guidelines, robust governance, and interdisciplinary collaboration, organisations can harness AI’s transformative power while safeguarding fairness and inclusivity.

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Unite.AI

NOVEMBER 29, 2023

In modern elections, the crucial role played by Artificial Intelligence (AI) takes central place, serving as a pivotal factor in ensuring fairness and transparency. The Bottom Line In conclusion, AI watchdogs are indispensable in safeguarding elections and adapting to evolving disinformation tactics.

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IBM Journey to AI blog

FEBRUARY 28, 2024

They also found that, while the public is still wary about new technologies like artificial intelligence (AI), most people are in favor of government adoption of generative AI. The IBV surveyed a diverse group of more than 13,000 adults across nine countries including the US, Canada, the UK, Australia and Japan. .”

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Pickl AI

DECEMBER 10, 2024

It promotes fairness, regulatory compliance, and stakeholder trust across the AI lifecycle. This framework empowers organisations to adopt AI responsibly while safeguarding against risks and ethical concerns. As the global AI market, valued at $196.63 from 2024 to 2030, implementing trustworthy AI is imperative.

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IBM Journey to AI blog

OCTOBER 30, 2024

How the watsonx Regulatory Compliance Platform accelerates risk management The watsonx.ai™, watsonx.gov, and watsonx.data™ components of the platform are advanced artificial intelligence (AI) modules that offer a wide range of advance technical features designed to meet the unique needs of the industry.

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