Unite.AI

MARCH 27, 2024

Likewise, ethical considerations, including bias in AI algorithms and transparency in decision-making, demand multifaceted solutions to ensure fairness and accountability. Addressing bias requires diversifying AI development teams, integrating ethics into algorithmic design, and promoting awareness of bias mitigation strategies.

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Unite.AI

DECEMBER 1, 2023

SHAP's strength lies in its consistency and ability to provide a global perspective – it not only explains individual predictions but also gives insights into the model as a whole. This method requires fewer resources at test time and has been shown to effectively explain model predictions, even in LLMs with billions of parameters.

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Marktechpost

NOVEMBER 23, 2023

This technical prowess positions Leonardo as a crucial asset for advancing AI applications across Europe​​. REAL AI’s unique opportunity- “We aim to provide Europe’s answer to responsible AI development. Together with UNINA and AI supercomputer cluster ‘Leonardo’, we can make this possible”.

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Artificial Corner

AUGUST 3, 2023

Twitter’s CEO, Sarah Jackson, explained that the rebranding is part of a strategic effort to expand the platform’s offerings beyond its traditional microblogging format. The formation of the industry body “Frontier Model Forum” further solidifies their dedication to ensuring responsible AI development.

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NYU Center for Data Science

JANUARY 3, 2024

We wanted to develop a framework for understanding the toxicity of language that would take into account more than just what’s shown explicitly in the text,” Gabriel explains. This focus on the implicit meanings and the social context of language in AI models is crucial in an era where digital communication is omnipresent.

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IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models are widely used for ML tasks like classification and entity extraction, as well as generative AI tasks such as translation, summarization and creating realistic content. The development and use of these models explain the enormous amount of recent AI breakthroughs.

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Unite.AI

APRIL 30, 2024

Ethical Considerations and Challenges Ethical considerations and challenges are significant in the development of self-reflective AI systems. Transparency and accountability are at the forefront, necessitating explainable systems that can justify their decisions.

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NYU Center for Data Science

DECEMBER 12, 2023

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. The Center for Responsible AI is a testament to NYU’s commitment to pioneering research that upholds and advances these ideals.

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Pickl AI

APRIL 26, 2024

This can lead to discriminatory outcomes, for example, an AI-powered hiring tool trained on historical data might perpetuate existing biases against certain demographics. Ensuring fairness and mitigating bias in AI development is crucial. To reap the benefits and mitigate the risks, we must approach AI development responsibly.

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IBM Journey to AI blog

AUGUST 16, 2023

” We’ll come back to this story in a minute and explain how it relates to ChatGPT and trustworthy AI. As the world of artificial intelligence (AI) evolves, new tools like OpenAI’s ChatGPT have gained attention for their conversational capabilities.

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Becoming Human

APRIL 19, 2024

Transparency and Explainability Transparency in AI systems is crucial for building trust among users and stakeholders. This lack of explainability raises concerns about accountability and the potential for unintended consequences. AI consultants must prioritize transparency by adopting models and techniques for interpretability.

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Allen AI

JULY 27, 2023

The AI2 ImpACT License Project: Open, Responsible AI Licenses for the Common Good A new way to think about AI licensing By Jen Dumas, Crystal Nam, Will Smith, David Atkinson, and Nicole DeCario AI Is Everywhere; What Are the Risks? We welcome your feedback on this initiative: please reach us at ai2impact@allenai.org.

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Towards AI

OCTOBER 7, 2023

Last Updated on October 9, 2023 by Editorial Team Author(s): Lye Jia Jun Originally published on Towards AI. Balancing Ethics and Innovation: An Introduction to the Guiding Principles of Responsible AI Sarah, a seasoned AI developer, found herself at a moral crossroads.

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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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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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AWS Machine Learning Blog

MAY 9, 2024

Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI. To provide ethical integrity , an AI/ML CoE helps integrate robust guidelines and safeguards across the AI/ML lifecycle in collaboration with stakeholders.

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Towards AI

FEBRUARY 14, 2023

Another important trend to watch in the future of generative AI is the growing focus on ethical and responsible AI development. With the potential of AI to impact society in profound ways, it is crucial that we take a responsible approach to its development and use.

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Flipboard

JULY 28, 2023

Paige Vickers/Vox; Getty Images The AI debate splitting the tech world, explained. Last week, Meta made a game-changing move in the world of AI. 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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Snorkel AI

FEBRUARY 22, 2023

At Snorkel AI’s 2022 Future of Data-Centric AI virtual conference, Eisenberg gave a short presentation on the way he and his colleagues are working to operationalize the assessment of responsible AI systems using a Credo AI tool called Lens. My name is Ian Eisenberg, and I head the data science team at Credo AI.

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Snorkel AI

FEBRUARY 22, 2023

At Snorkel AI’s 2022 Future of Data-Centric AI virtual conference, Eisenberg gave a short presentation on the way he and his colleagues are working to operationalize the assessment of responsible AI systems using a Credo AI tool called Lens. My name is Ian Eisenberg, and I head the data science team at Credo AI.

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Viso.ai

DECEMBER 18, 2023

Organizations can easily source data to promote the development, deployment, and scaling of their computer vision applications. This allows for: Developing Robust and Generalizable AI Models. Training AI models on synthetic data exposes them to a wider range of variations and edge cases. Rapid AI Development.

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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 (AI) models assist across various domains, from regression-based forecasting models to complex object detection algorithms in deep learning.

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IBM Journey to AI blog

MAY 14, 2024

Following a recent executive order by the Biden administration and a meteoric rise in AI adoption across sectors, the Office of Management and Budget (OMB) released a memo on how federal agencies can seize AI’s opportunities while managing its risks. “Create trustworthy AI development.”

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Marktechpost

DECEMBER 6, 2023

It can understand, explain, and generate high-quality code in multiple programming languages, a feature that positions it as one of the leading foundation models for coding. This capability is expected to facilitate breakthroughs in various fields, including science and finance. Check out the Technical Report and Google Release Post.

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Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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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

FEBRUARY 22, 2024

In the rapidly evolving realm of modern technology, the concept of ‘ Responsible AI ’ has surfaced to address and mitigate the issues arising from AI hallucinations , misuse and malicious human intent. Balancing AI progress with societal values is vital for meaningful technological advancements that benefit humanity.

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TensorFlow

MAY 10, 2023

This year at Google I/O, we highlighted how we are helping developers like you build with generative AI, use machine learning in spreadsheets and applications, create ML models from the ground up, and scale them up to serve millions of users. While AI technology is advancing rapidly, we must continue to ensure it is used responsibly.

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AWS Machine Learning Blog

MAY 9, 2024

The company is committed to ethical and responsible AI development, with human oversight and transparency. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

You can directly use the FMEval wherever you run your workloads, as a Python package or via the open-source code repository, which is made available in GitHub for transparency and as a contribution to the Responsible AI community. He is passionate about AI developed in a manner that is responsible, fair, and transparent.

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AWS Machine Learning Blog

MARCH 14, 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, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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Unite.AI

MAY 3, 2024

Here are some critical areas where offensive AI demands our immediate attention: Urgent Need for Regulations: The rise of offensive AI calls for developing stringent regulations and legal frameworks to govern its use. Having clear rules for responsible AI development can stop bad actors from using it for harm.

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IBM Journey to AI blog

FEBRUARY 28, 2024

IBM watsonx™ , an integrated AI, data and governance platform, embodies five fundamental pillars to help ensure trustworthy AI: fairness, privacy, explainability, transparency and robustness. This platform offers a seamless, efficient and responsible approach to AI development across various environments.

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Google Research AI blog

JANUARY 24, 2023

Posted by Marian Croak, VP, Google Research, Responsible AI and Human-Centered Technology The last year showed tremendous breakthroughs in artificial intelligence (AI), particularly in large language models (LLMs) and text-to-image models.

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Unite.AI

MAY 22, 2024

Imagine a virtual tutor that can not only explain complex concepts through natural language but also generate visual aids and interactive simulations on the fly. Ethical Considerations and Responsible AI As with any powerful technology, the development and deployment of GPT-4o and similar AI models raise important ethical considerations.

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Marktechpost

MAY 2, 2024

Human-centricity, respect for democracy and human rights, environmental preservation, sustainable development, equality, non-discrimination, and innovation are the guiding principles of AI development in Brazil. AIDA would create standards for ethical AI development, design, and application with a focus on justice and safety.

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