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.

Machine Learning 109

Machine Learning Large Language Models Algorithm LLM 109

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.

AI 278

AI AI Natural Language Processing Automation 278

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.

Responsible AI 84

Responsible AI Large Language Models Algorithm Natural Language Processing 84

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.

Big Data 235

Big Data AI AI AI Developer 235

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.

AI 136

AI AI AI Modeling Algorithm 136

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.

LLM 264

LLM Machine Learning Explainability Algorithm 264

Marktechpost

MARCH 17, 2024

Artificial intelligence (AI) is quickly changing our lives and careers, from chatbots communicating with consumers to algorithms suggesting your next movie. A great deal of responsibility, however, is associated with this power. Even the most advanced AI models are susceptible to biases, security flaws, and unforeseen outcomes.

AI Researcher 57

AI Researcher AI Research LLM Artificial Intelligence 57

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.

AI 99

AI AI Artificial Intelligence Artificial Intelligence 99

Becoming Human

APRIL 19, 2024

The rise of AI consulting services AI consulting services have emerged as a key player in the digital transformation landscape. Businesses are leveraging the expertise of AI consultants to navigate the complexities of implementing AI solutions, from developing custom algorithms to integrating off-the-shelf AI tools.

AI 102

AI AI Responsible AI Artificial Intelligence 102

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.

Large Language Models 126

Large Language Models AI AI AI Modeling 126

How to Learn Machine Learning

APRIL 23, 2023

From privacy concerns to algorithmic bias, the impact of AI on society, and the workforce is significant. The purpose of this article is to examine the ethical considerations surrounding the use of AI in business and explore the steps companies can take to balance progress and responsibility.

Responsible AI 52

Responsible AI Artificial Intelligence Artificial Intelligence AI 52

Marktechpost

NOVEMBER 15, 2023

Before TRUST, the stock media industry faced potential problems related to using unlicensed data for training AI systems. This raised questions about copyright infringement and fair compensation for creators whose work contributes to developing these powerful algorithms.

Responsible AI 85

Responsible AI AI AI Algorithm 85

Artificial Corner

JULY 7, 2023

In the realm of science fiction, we often encounter exaggerated scenarios where superintelligent AI concludes that humans are the primary threat to Earth and decides to take drastic measures. Establishing guidelines and best practices for the creation and deployment of AI systems is essential.

Responsible AI 52

Responsible AI AI Developer AI Development AI 52

Pickl AI

APRIL 26, 2024

From automating data analysis in finance to streamlining factory assembly lines, AI streamlines processes and boosts productivity at an unprecedented scale. Eradicating Errors Humans are prone to mistakes, but AI algorithms can learn from vast amounts of data with incredible precision.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Automation AI Developer 52

Marktechpost

APRIL 20, 2024

With expertise spanning technical AI knowledge, policy, and governance, the group aims to increase transparency and foster collective solutions to the challenges of AI safety evaluation. of the AI Safety Benchmark.

AI 82

AI AI Categorization Responsible AI 82

ODSC - Open Data Science

OCTOBER 13, 2023

At Google, it was his responsibility to maintain and improve the quality of our core web search algorithms during a time of twenty-fold growth. She led the cross-company team of experts to develop the new Bing responsibly and led the Responsible AI development for Github Copilot.

Robotics 52

Robotics Artificial Intelligence Artificial Intelligence Responsible AI 52

Towards AI

FEBRUARY 14, 2023

Generative AI is a fascinating field that has gained a lot of attention in recent years. It involves using machine learning algorithms to generate new data based on existing data. In this article, we will explore what generative AI is, how it is being used today, and what the future holds for this exciting field.

Artificial Intelligence 93

Artificial Intelligence Artificial Intelligence Generative AI Natural Language Processing 93

AWS Machine Learning Blog

MAY 9, 2024

Governance Establish governance that enables the organization to scale value delivery from AI/ML initiatives while managing risk, compliance, and security. 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.

ML 106

ML Generative AI AI AI 106

TensorFlow

OCTOBER 17, 2023

Episode 4 : meet Crispin Velez , the lead for Cloud’s Vertex AI as we dig into his experience in Cloud working with customers and partners on how to integrate and deploy AI. We also learn how he grew his AI developer community in LATAM from scratch. Episode 5 : meet Joyce Shen , venture capital/private equity investor.

Generative AI 52

Generative AI AI AI Responsible AI 52

ODSC - Open Data Science

MARCH 11, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. They are 2B parameters and trained on 12 million hours of speech.

Neural Network 52

Neural Network Robotics Data Science Algorithm 52

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.

Responsible AI 98

Responsible AI AI AI Chatbots 98

Towards AI

OCTOBER 7, 2023

Balancing Ethics and Innovation: An Introduction to the Guiding Principles of Responsible AI Sarah, a seasoned AI developer, found herself at a moral crossroads. One algorithm could maximize efficiency but at the cost of privacy. If you were Sarah, which algorithm would you choose?

AI 62

AI AI Explainability Algorithm 62

Marktechpost

JANUARY 16, 2024

Developers focus on training LLMs with comprehensive and diverse datasets, employing safety protocols to prevent the generation of harmful content, and implementing algorithms to detect and mitigate biases. These methods aim to refine LLMs’ responses, ensuring they are accurate and adhere to ethical and privacy standards.

LLM 88

LLM Large Language Models Natural Language Processing Artificial Intelligence 88

Pickl AI

JULY 18, 2023

An AI Architect is a skilled professional responsible for designing and implementing artificial intelligence solutions within an organization. They possess a deep understanding of AI technologies, algorithms, and frameworks and have the ability to translate business requirements into robust AI systems.

AI Architect 52

AI Architect AI Engineer Machine Learning Artificial Intelligence 52

ODSC - Open Data Science

OCTOBER 5, 2023

13 Companies Leading the Way in AI Development Let’s take a quick look at some of the companies that will be at the ODSC West AI Expo, what they do, and how they’re changing the AI landscape. Join the ODSC AI Startup Showcase! Here’s how you can customize your ODSC West schedule with ease.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Artificial Intelligence 52

Pickl AI

NOVEMBER 23, 2023

Ethical considerations in AI privacy In delving into the ethical dimensions of AI privacy, it becomes evident that technological innovation and ethical practices must strike a delicate balance. One essential facet is the demand for transparency and accountability within AI algorithms.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Pickl AI

JUNE 23, 2023

In the world of artificial intelligence (AI), data plays a crucial role. It is the lifeblood that fuels AI algorithms and enables machines to learn and make intelligent decisions. And to effectively harness the power of data, organizations are adopting data-centric architectures in AI.

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

Viso.ai

DECEMBER 18, 2023

Organizations can easily source data to promote the development, deployment, and scaling of their computer vision applications. The algorithm then generates new data points that follow the same statistical patterns. Then, we implement algorithms such as iterative proportional fitting (IPF) or combinatorial optimization.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

John Snow Labs

OCTOBER 19, 2023

With these algorithms being used to make important decisions in various fields, it is crucial to address the potential for unintended bias to affect their outcomes. To address gender bias in AI, it’s crucial to improve the data quality by including diverse perspectives and avoiding the perpetuation of stereotypes.

NLP 52

NLP Natural Language Processing AI AI 52

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.

Composite AI 182

Composite AI Explainability Black Box AI Explainable AI 182

ODSC - Open Data Science

OCTOBER 9, 2023

Microsoft Azure One of the giants of the cloud computing realm, Microsoft Azure offers a comprehensive suite of AI and machine learning services that are easy to use, scalable, and backed by Microsoft’s commitment to responsible AI.

AI Developer 52

AI Developer AI Development Machine Learning Data Science 52

AWS Machine Learning Blog

NOVEMBER 30, 2023

Verifiable evaluation scores are provided across text generation, summarization, classification and question answering tasks, including customer-defined prompt scenarios and algorithms. FMEval allows you to upload your own prompt datasets and algorithms. Depending on the evaluation algorithm you are utilizing these fields may vary.

Large Language Models 88

Large Language Models LLM Algorithm Responsible AI 88

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.

Artificial Intelligence 208

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 208

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.

Generative AI 189

Generative AI Neural Network AI AI 189

ODSC - Open Data Science

MARCH 5, 2024

The Evolution of AI Investment The journey of AI from theoretical research to a core driver of technological innovation has been marked by significant milestones. Factors influencing VC decisions include the startup’s technological edge, market size, team expertise, scalability, and responsible AI practices.

Responsible AI 52

Responsible AI Machine Learning Data Science Automation 52

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. Bias and Fairness : Ensuring Ethicality in AI Responsible AI demands fairness and impartiality.

Responsible AI 279

Responsible AI Explainability AI AI 279

LevelAI

FEBRUARY 23, 2024

In a world where artificial intelligence is reshaping every facet of business, Level AI stands as a vanguard of this transformation, especially in the realm of customer engagement. Recent government announcements, such as the Executive Order on AI by President Biden in the U.S. These initiatives, highlighted by agencies like the U.S.

Responsible AI 52

Responsible AI AI AI Artificial Intelligence 52