AI Research
Pause new law on artificial intelligence, Colorado mayors urge lawmakers

While filling the $800 million gap in the state budget is a significant part of the special session set to go underway this morning at the state Capitol, the battle over artificial intelligence regulations is quickly taking center stage, with mayors from three major cities weighing in.
In a letter, Denver Mayor Mike Johnston, Colorado Springs Mayor Yemi Mobolade and Aurora Mayor Mike Coffman called on state legislators to intervene and stop Senate Bill 205 from going into effect as planned on Feb. 1, 2026, arguing they fear it would deter companies and jobs from coming to Colorado, not to mention millions of dollars in implementation expenses.
“As mayors of the three largest cities in Colorado, with different political affiliations, we are speaking with one voice today because Colorado cannot afford SB24-205 to take effect in its current form,” the mayors said.
The legislature passed SB 205 in the 2024 session and Gov. Jared Polis reluctantly signed it into law. At the time, assurances were made that a task force would be formed in 2025, and concerns brought up by the business community and the Attorney General’s Office would be addressed by amending the new law.
Nothing was passed in the regular session — and the bill remained on track to take affect.
When Polis announced the Aug. 21 special session, he called on the state legislature to address the $800 million shortfall and tackle artificial intelligence regulation.
In their letter, Coffman, Johnston and Mobolade stressed that the problems in SB 205 are not partisan, noting that schools, businesses, hospitals and consumer advocates agree that amendments are needed to improve the bill “to the benefit of consumers and innovation.”
“Meaningful negotiations are happening right now between the technology sector and consumer advocates and we are hopeful that a reasonable policy solution will develop in time for special session,” the mayors said. “However, if more time is needed, we are asking you to support a delay in implementation to allow productive conversations to continue. Regardless of the ultimate outcome, one thing is clear: we cannot afford to do nothing. Inaction will cause real harm to Colorado’s economy and the communities we serve.”
They said the stakes are high for the following reason:
• Schools, hospitals, and employers across Colorado will face new and complex burdens that will limit critical resources and opportunities for Coloradans across the state
• Innovation and investment in Colorado will slow, driving economic opportunities and jobs elsewhere
• Over $5 million will be spent implementing this law, when both city and state budgets already face significant challenges
While agreeing the issue is challenging, Coffman, Johnston and Mobolade said the “General Assembly must act.”
On Thursday, lawmakers introduced several bills on AI ahead of the session.
The options for lawmakers are to repeal, amend, or do nothing to change SB 205.
Majority Leader Robert Rodriguez, the sponsor of last year’s law, introduced 25B-0017, which is more about transparency than changing the law and outlining the specifics of the original bill, and stressing that the 2024 regulations, deemed the first in the nation, focus on eliminating discriminatory practices in banking, housing, and other consumer industries.
A bill introduced by Republican Rep. Ron Weinger goes to the heart of what the city mayors said are the pitfalls of the 2024 law. If passed, Weinberg’s bill, 25B-0004, would:
• Change the effective date for the new regulations from early 2026 to Aug. 1, 2027
• Exempt businesses with fewer than 250 employees
• Exempt businesses with less than $5 million in annual revenue
• Exempt local governments with fewer than 100,000 residents
Meanwhile, Sen. Mark Baisley, a Republican, introduced 25B-0012, which would repeal the 2024 measure altogether, stating that laws against discriminatory behavior in business are already in place in Colorado.
The fourth AI bill introduced so far is similar to Baisley’s, stressing that the business community in developing and deploying artificial intelligence would have to abide by the “Colorado Consumer Protection Act.”
The bill, 25B-0013, would require consumers to be notified whenever they use artificial intelligence. Reps. William Lindstedt, Michael Carter, Judy Amabile and Lisa Frizell introduced the measure.
Polis told Colorado Politics Thursday morning, “In Colorado, we can promote innovation and protect consumers at the same time. I will work with anyone to find the right path forward on AI for Colorado – including the development of a new policy framework that addresses bias while also spurring innovation, a delay of implementation, or some combination. There is clear motivation in the legislature to take action now to protect consumers and promote innovation, all without creating new costs for the state or unworkable burdens for Colorado businesses and local governments. I thank legislators for taking the issue so seriously and applaud the work that’s being done in both chambers. There’s still work to do, and we will continue to work with legislators, stakeholders and advocates to find an excellent outcome for the state during the special session.”
AI Research
Study reveals why humans adapt better than AI

Humans adapt to new situations through abstraction, while AI relies on statistical or rule-based methods, limiting flexibility in unfamiliar scenarios.
A new interdisciplinary study from Bielefeld University and other leading institutions explores why humans excel at adapting to new situations while AI systems often struggle. Researchers found humans generalise through abstraction and concepts, while AI relies on statistical or rule-based methods.
The study proposes a framework to align human and AI reasoning, defining generalisation, how it works, and how it can be assessed. Experts say differences in generalisation limit AI flexibility and stress the need for human-centred design in medicine, transport, and decision-making.
Researchers collaborated across more than 20 institutions, including Bielefeld, Bamberg, Amsterdam, and Oxford, under the SAIL project. The initiative aims to develop AI systems that are sustainable, transparent, and better able to support human values and decision-making.
Interdisciplinary insights may guide the responsible use of AI in human-AI teams, ensuring machines complement rather than disrupt human judgement.
The findings underline the importance of bridging cognitive science and AI research to foster more adaptable, trustworthy, and human-aligned AI systems capable of tackling complex, real-world challenges.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
AI Research
Josh Bersin Company Research Reveals How Talent Acquisition Is Being Revolutionized by AI

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Jobs aren’t disappearing. Through AI, talent acquisition is fast evolving from hand-crafted interviewing and recruiting to a data-driven model that ensures the right talent is hired at the right time, for the right role with unmatched accuracy
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Traditional recruiting isn’t working: in 2024, only 17% of applicants received interviews and 60% abandoned slow application processes
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AI drives 2–3x faster hiring, stronger candidate quality, sharper targeting—and 95% candidate satisfaction at Foundever, from 200,000+ applicants in just six months
OAKLAND, Calif., Sept. 16, 2025 /PRNewswire/ — The Josh Bersin Company, the world’s most trusted HR advisory firm, today released new research showing that jobs aren’t disappearing—they’re being matched with greater intelligence. The research, produced in collaboration with AMS, reveals major advances in talent acquisition (TA) driven by AI-enabled technology, which are yielding 2–3x faster time to hire, stronger candidate-role matches, and unprecedented precision in sourcing.
The global market for recruiting, hiring, and staffing is over $850 billion and is growing at 13% per year, despite the economic slowdown, though signs of strain are evident. This means TA leaders are turning to AI to adapt, as AI transforms jobs, creates the need for new roles, new skills, and AI expertise.
According to the research and advisory firm, even without AI disruption, over 20% of employees consider changing jobs each year, driving demand for a new wave of high-precision, AI-powered tools for assessment, interviewing, selection, and hiring. Companies joining this AI revolution are hiring 200-300% faster, with greater accuracy and efficiency than their peers, despite the job market slowdown.
According to the report, The Talent Acquisition Revolution: How AI is Transforming Recruiting, the TA automation revolution is delivering benefits across the hiring ecosystem: job seekers experience faster recognition and better fit, while employers gain accurate, real-time, and highly scalable recruitment.
This is against a context of failure with current hiring. In 2024, less than one in four (17%) of applicants made it to the interview stage, and 60% of job seekers, due to too-slow hiring portals, abandoned the whole application process.
The research shows how organizations are already realizing benefits such as lower hiring costs, stronger internal mobility, and higher productivity. AI-empowered TA teams are also streamlining operations by shifting large portions of manual, admin-heavy work to specialized vendors.
AI Research
Causaly Introduces First Agentic AI Platform Built for Life Sciences Research and Development
Specialized AI agents automate research workflows and accelerate
drug discovery and development with transparent, evidence-backed insights
LONDON, Sept. 16, 2025 /PRNewswire/ — Causaly today introduced Causaly Agentic Research, an agentic AI breakthrough that delivers the transparency and scientific rigor that life sciences research and development demands. First-of-their-kind, specialized AI agents access, analyze, and synthesize comprehensive internal and external biomedical knowledge and competitive intelligence. Scientists can now automate complex tasks and workflows to scale R&D operations, discover novel insights, and drive faster decisions with confidence, precision, and clarity.
Industry-specific scientific AI agents
Causaly Agentic Research builds on Causaly Deep Research with a conversational interface that lets users interact directly with Causaly AI research agents. Unlike legacy literature review tools and general-purpose AI tools, Causaly Agentic Research uses industry-specific AI agents built for life sciences R&D and securely combines internal and external data to create a single source of truth for research. Causaly AI agents complete multi-step tasks across drug discovery and development, from generating and testing hypotheses to producing structured, transparent results always backed by evidence.
“Agentic AI fundamentally changes how life sciences conducts research,” said Yiannis Kiachopoulos, co-founder and CEO of Causaly. “Causaly Agentic Research emulates the scientific process, automatically analyzing data, finding biological relationships, and reasoning through problems. AI agents work like digital assistants, eliminating manual tasks and dependencies on other teams, so scientists can access more diverse evidence sources, de-risk decision-making, and focus on higher-value work.”
Solving critical research challenges
Research and development teams need access to vast amounts of biomedical data, but manual and siloed processes slow research and create long cycle times for getting treatments to market. Scientists spend weeks analyzing narrow slices of data while critical insights remain hidden. Human biases influence decisions, and the volume of scientific information overwhelms traditional research approaches.
Causaly addresses these challenges as the first agentic AI platform for scientists that combines extensive biomedical information with competitive intelligence and proprietary datasets. With a single, intelligent interface for scientific discovery that fits within scientists’ existing workflows, research and development teams can eliminate silos, improve productivity, and accelerate scientific ideas to market.
Comprehensive agentic AI research platform
As part of the Causaly platform, Causaly Agentic Research provides scientists multiple AI agents that collaborate to:
- Conduct complex analysis and provide answers that move research forward
- Verify quality and accuracy to dramatically reduce time-to-discovery
- Continuously scan the scientific landscape to surface critical signals and emerging evidence in real time
- Deliver fully traceable insights that help teams make confident, evidence-backed decisions while maintaining scientific rigor for regulatory approval
- Connect seamlessly with internal systems, public applications, data sources, and even other AI agents, unifying scientific discovery
Availability
Causaly Agentic Research will be available in October 2025, with a conversational interface and foundational AI agents to accelerate drug discovery and development. Additional specialized AI agents are planned for availability by the end of the year.
Explore how Causaly Agentic Research can redefine your R&D workflows and bring the future of drug development to your organization at causaly.com/products/agentic-research.
About Causaly
Causaly is a leader in AI for the life sciences industry. Leading biopharmaceutical companies use the Causaly AI platform to find, visualize, and interpret biomedical knowledge and automate critical research workflows. To learn how Causaly is accelerating drug discovery through transformative AI technologies and getting critical treatments to patients faster, visit www.causaly.com.
Logo – https://mma.prnewswire.com/media/2653240/Causaly_Logo_Logo.jpg
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