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AWS SageMaker is a comprehensive, managed service on Amazon Web Services designed to streamline the entire machine learning lifecycle.  It provides a unified platform with tools for data preparation, model building, training, deployment, and management, as detailed in an in-depth analysis. The service addresses key challenges in ML, such as fragmented environments and data governance, by offering...

Common Crawl  is a non-profit organisation established in 2007 with the aim of providing an openly accessible archive of the World Wide Web. This massive collection of crawled web data began in 2008 and has grown substantially, becoming a crucial resource for researchers and developers, particularly in the field of artificial intelligence. Milestones include Amazon Web Services hosting the archive...

CrewAI is an open-source Python framework designed for building and managing  multi-agent AI systems . We explore  CrewAI's core functionalities , including natural language processing, task automation, and decision-making, underpinned by large language models. We also trace the  evolution of CrewAI , highlighting key milestones, partnerships, and its rapid growth in the AI landscape. Furthermore,...

Overview of ISO/IEC 42001:2023, the first international standard for Artificial Intelligence Management Systems (AIMS), outlining its objectives, structure, and strategic advantages for organisations. It highlights the standard's role in promoting trustworthy and ethical AI by mandating a structured framework for managing risks and ensuring accountability throughout the AI lifecycle. The sourc...

A comprehensive look at  Evisort , an AI-powered contract lifecycle management (CLM) platform, particularly in light of its recent acquisition by Workday. The sources outline  Evisort's features and functionalities , focusing on its AI-native approach to contract intelligence, including data extraction, analysis, and automation across various business functions. They also  examine Evisort'...

Recent years have seen a surge in lawsuits against companies for their deployment of AI systems.  These legal challenges come from employees, customers, and job applicants who allege harm, citing issues such as  discrimination in hiring, privacy breaches in customer interactions, and copyright infringement by generative AI.  The lawsuits highlight concerns about  bias in algorithms, the lack of tr...

This Anthropic publication offers practical guidance on constructing effective AI agents using large language models. It advocates for  simple, composable patterns  over complex frameworks, highlighting that the most successful agent implementations avoid unnecessary abstraction. The document clarifies the distinction between  workflows  (predefined code paths) and  agents  (dynamically self-direc...

Anthropic researchers investigated the internal workings of their Claude 3.5 Haiku large language model using a technique called circuit tracing.  This method allows them to identify and map connections between "features," which they hypothesise are the basic units of computation within the model, akin to cells in biological systems.  Their study explored a range of capabilities, such as...

Anthropic's research explores the inner workings of their large language model, Claude, using novel interpretability techniques likened to an "AI microscope". This work aims to understand how Claude processes information, forms thoughts, and makes decisions by examining its internal computations. Their findings reveal surprising insights into Claude's multilingual abilities, plan...

Model Context Protocol (MCP) aims to standardize how applications supply context to large language models.   MCP functions as a universal connection for AI, facilitating the integration of diverse data sources and tools.   The protocol employs a client-server architecture, featuring hosts, clients, and servers that enable LLMs to access both local and remote information securely.   It offers pre-b...

This Act amends the  Illinois Human Rights Act , specifically altering sections concerning  definitions  and  civil rights violations in employment . It  expands the definition of "employee"  to include certain unpaid interns and clarifies the definitions of "employer," "employment agency," and "labor organisation." The updated Act details various  unlawful employment practices , such as discrimin...

This legislative text from the European Union, officially titled  Regulation (EU) 2022/2554 , focuses on bolstering the  digital operational resilience of the financial sector . It establishes  uniform requirements  for financial entities regarding the security of their network and information systems. The regulation covers various aspects, including  ICT risk management , the  reporting of major...

Practical guidance on how organisations can explain AI-assisted decisions to individuals, particularly when processing personal data.  

Examines the use of impact assessments to support accountability and cultivate trust in Artificial Intelligence (AI) systems.  It highlights the growing deployment of AI and the need for ethical development and responsible use. Focuses on algorithmic impact assessments (AIAs) as a practical tool for mitigating risks by reviewing AI systems' objectives, design, and purpose.  It compares AIAs favour...

The Model AI Governance Framework for Generative AI from Singapore outlines a systematic approach to managing the risks and fostering innovation in generative AI.  It proposes nine key dimensions for building a trusted AI ecosystem, such as  accountability, data management, trusted development, incident reporting, and security.  The framework calls for collaboration among policymakers, industry, r...

The Personal Information Protection Commission in South Korea has announced new policy directions for the safe use of personal information in the age of AI.   These guidelines aim to minimise privacy risks while enabling the development of the AI ecosystem.   Key initiatives include establishing principle-based regulations, creating a dedicated 'AI Privacy Team', and providing detailed personal in...

The European Commission document offers guidance on interpreting and enforcing Article 5 of the AI Act, which prohibits specific artificial intelligence practices.  It clarifies the scope, objectives, and interplay with other EU laws regarding prohibited AI, notably focusing on AI that manipulates, exploits vulnerabilities, or engages in social scoring.  Real-time biometric identification (RBI) is...

The OECD Council's revised recommendation on Artificial Intelligence (AI) focuses on promoting trustworthy AI systems.  It lays out principles for responsible AI stewardship, encouraging inclusive growth, respect for human rights, transparency, robustness, and accountability throughout the AI lifecycle.  The document urges governments to invest in AI research and development, foster inclusive ecos...

The Voluntary AI Safety Standard, released by the Australian Government, offers guidance to Australian organisations on the safe and responsible implementation of artificial intelligence.  It promotes best practices through ten voluntary guardrails applicable across the AI supply chain, focusing initially on AI deployers.  The standard aims to mitigate risks associated with AI while fostering inno...

New York City's regulations regarding the use of Automated Employment Decision Tools (AEDTs).  The rules mandate that employers and employment agencies conduct bias audits of these tools to assess their impact on different demographic groups, ensuring fair hiring practices.  The regulations specify how these audits must be performed, including the calculation of selection and scoring rates across...

Colorado's Senate Bill 24-205 aims to protect consumers from algorithmic discrimination stemming from AI systems.  The bill defines key terms like "algorithmic discrimination" and "high-risk artificial intelligence system," focusing on AI's impact on consequential decisions.  It establishes duties for both AI developers and deployers, mandating reasonable care, documentation, and risk management p...

The Government of Canada's Directive on Automated Decision-Making outlines the framework for the responsible deployment of automated systems within federal institutions.  It mandates that these systems are designed and used to reduce risks and improve efficiency while adhering to Canadian law.  The directive requires algorithmic impact assessments, transparency in decision-making processes, an...

Overview of the NIST Artificial Intelligence Risk Management Framework (AI RMF) , a voluntary set of guidelines released by the U.S. National Institute of Standards and Technology in January 2023. The AI RMF is designed to help organisations manage the risks associated with artificial intelligence systems and promote the development and deployment of trustworthy and responsible AI. It outlines fou...

The  EU AI Act , a new regulatory framework designed to ensure AI systems used within the EU respect  human values and ethical principles . It outlines the  Act's scope , which has a global reach, broadly covering various stakeholders but with specific  exemptions , such as for military purposes. The presentation details a  risk-based approach , categorising AI systems by their potential harm,...