Policy – ABCDQI

MindHYVE.ai and DV8 Infosystems Partner with KICTANet to Develop Kenya’s AI Policy

Partnership Announcement: MindHYVE.ai, DV8 Infosystems, and KICTANet signed a Memorandum of Understanding (MoU) to co-develop Kenya’s National Artificial Intelligence Policy.
Strategic Objectives: The collaboration aims to enhance Kenya’s National AI Strategy for 2025-2030, focusing on ethical and regulatory design, participatory engagement, and a publication-ready policy framework.
Commitment to Ethical AI: The MoU underscores a shared commitment to responsible AI governance, positioning Kenya as a leader in developing ethical and inclusive AI policies.
Global Impact: This initiative signifies a new phase in Kenya’s digital transformation, aiming to establish a sovereign AI governance model that influences global AI policy discourse.
Leadership Statements: Leaders from the partnering organizations emphasized the importance of the MoU in shaping responsible AI practices and expressed their commitment to integrating diverse stakeholders in the policy development process.

The N.W.T. government is developing a policy for artificial intelligence (AI) tools, with initial guidelines expected soon.
Currently, government workers follow federal guidelines for AI use, while the territory’s government explores its own applications of AI in administrative processes.
The Law Society of the Northwest Territories has released guidelines for lawyers on AI use, emphasizing transparency and bias checking in AI-generated content.
Research Chair Adegboyega Ojo advocates for collaboration between governments and research institutions to responsibly enhance public services using AI.
A Statistics Canada survey indicates a modest interest in AI adoption among N.W.T. businesses, with some individuals already leveraging AI to increase efficiency in their work.

U.S. AI chip export restrictions have barred Nvidia from the $50 billion Chinese market, resulting in a $4.5 billion inventory write-off.
Nvidia is expanding its AI infrastructure projects globally, including initiatives in Saudi Arabia, UAE, Taiwan, and the U.S. to meet increasing demand.
The company reported $44.06 billion in Q1 revenue, a 69% year-over-year increase, with data center revenue rising 73% to $39.1 billion.
CEO Jensen Huang emphasized the rising demand for AI inference workloads and the significant growth in enterprise AI, robotics, and manufacturing applications.
Nvidia aims to bolster its U.S. manufacturing capabilities while exploring a wide range of AI products across multiple sectors, positioning itself for a dominant role in the evolving AI industry.

posted on May 25, 2025tagged as Atlas, Design, Policy

Policymakers face challenges in navigating a fragmented landscape of policy evidence from various sources, hindering innovation and learning.
The project aims to create AI-powered tools that help synthesize extensive policy and academic literature for better-informed policy design.
A digital tool will be developed with core features: search for efficient document scanning, synthesis for visual summaries, and simulation for testing policy interventions.
Current AI synthesis tools are limited in openness, transparency, and specificity; the new tool addresses these gaps.
Collaboration and best practices will be emphasized as the project seeks to enhance AI-driven policy innovation through user research and community engagement.

Big tech vendors seek relief from varying state laws on AI and data privacy, with Trump’s One Big Beautiful Bill Act proposing a 10-year moratorium on state AI laws.
The U.S. House passed a tax and domestic policy bill by a narrow margin, which includes a provision to halt state enforcement of AI regulations.
Despite concerns over a chaotic patchwork of laws, progress on federal data privacy legislation remains slow, with previous attempts failing to pass.
Texas has secured substantial settlements against Google and Meta for violating user data privacy, signaling a strict state approach to tech regulation.
Industry experts warn that a lack of cohesive federal regulations may hinder accountability for AI vendors, emphasizing the need for appropriate legal frameworks.

Lloyd’s of London insurers have introduced coverage for losses resulting from failures of AI tools like chatbots and customer service platforms.
The policy covers legal fees and damages arising from significant underperformance of AI tools, protecting against lawsuits from customers and third parties.
Real-world examples highlight the need for such coverage, including incidents involving Money, DPD, and Air Canada with their AI systems.
Armilla’s policy aims to fill a gap in existing technology coverage by addressing claims related to AI’s adaptive learning and performance degradation.
The new insurance product may encourage companies to adopt AI technologies, reflecting a shift in recognizing AI’s operational risks and the need for specialized insurance solutions.

A survey of 500 secondary school students in Singapore found that all use AI for homework, with 29% using it multiple times a week.
Students primarily utilize AI for generating assignment ideas (86%), solving math problems (63%), and proofreading (47%).
Only 51% of students attend schools with clear AI usage rules, while 33% are uncertain about their school’s policies.
Views on AI among teachers vary significantly, with some embracing it and others ignoring its presence, leading to inconsistent handling in classrooms.
Concerns about inaccurate AI detection tools may harm student-teacher relationships, prompting calls for clearer guidelines on appropriate AI use in education.