Technology

TD strengthens Its Responsible AI Principles to support trust in AI innovation

Published

52 minutes ago

July 30, 2026

TD Framework embeds fairness, transparency and accountability across the AI lifecycle as adoption accelerates

TORONTO, July 30, 2026 /CNW/ — As artificial intelligence becomes increasingly embedded in banking, TD Bank Group (“TD” or “the Bank”) today introduced its enterprise-wide Responsible AI Principles, reinforcing the Bank’s commitment that innovation is to be guided by strong oversight, transparency and accountability.

The TD Responsible AI Principles establish seven commitments that guide how AI is developed, deployed and used across TD. These commitments address laws that already apply to financial institutions, as well as transparency and explainability, data use and privacy, fairness, quality and accountability, reliability, and security. TD is also incorporating the Responsible AI Principles into employee education programs, helping colleagues understand expectations related to the responsible use of AI at the Bank.

“The future of banking will increasingly be powered by AI,” said Sumee Seetharaman, Head of Artificial Intelligence and Machine Learning Practice at TD. “Our Responsible AI Principles are designed to help the Bank scale that technology responsibly, with the governance, oversight and transparency needed to maintain the trust our clients place in us every day.”

These Responsible AI Principles establish clear expectations for fairness, transparency, explainability and accountability, while the Bank’s governance and risk-management processes require the consistent application of those principles across AI use cases. TD is embedding these Responsible AI Principles throughout the lifecycle of its AI systems, from initial design and development through deployment and ongoing monitoring. Every AI use case introduced at TD must align with these principles and undergo assessments for explainability, fairness and performance development.

“Trust has always been the foundation of banking, and that won’t change as AI becomes more deeply embedded in our industry,” said Ajai Bambawale, Chief Risk Officer, TD. “Our Responsible AI Principles provide a clear framework for adopting these technologies responsibly, enabling innovation while requiring transparency, accountability and trust at every step. We’ve embedded our Responsible AI Principles into AI use cases across the Bank. For example, in colleague-facing virtual assistants, we apply controls such as retrieval grounding, human oversight and continuous monitoring to help mitigate the risk of inaccurate, unsupported or inappropriate AI-generated guidance.”

The framework is supported by governance and risk management processes, including model risk assessments, privacy impact assessments and independent oversight reviews to ensure alignment with the principles.

The Responsible AI Principles are embedded in the AI Risk framework and policy. They are overseen by the Bank’s AI Risk Management team and operationalized by the Trustworthy AI team, a specialized group of scientists focused on advancing the safe and secure use of the technology at TD.

Under TD’s AI Risk Management framework, AI use cases are evaluated against requirements related to fairness, explainability, privacy and performance before they are deployed. The Trustworthy AI team continues to monitor AI use cases once deployed, tracking performance, fairness and explainability so that systems continue to operate as intended.

Through these measures, TD aims to deliver AI capabilities that are transparent, accountable and resilient, helping clients and colleagues benefit from innovation with confidence.

Advice‑Forward Q&A: Understanding Responsible AI at TD

Why are the TD Responsible AI Principles important now?
AI, Gen AI and agentic AI adoption are accelerating and introducing new risks. Clear principles help ensure AI is used ethically, transparently and safely.

How can TD oversee that AI remains trustworthy over time?
Through continuous monitoring and model review processes that reassess risk and performance as systems evolve.

What does this mean for clients and investors?
Clients benefit from more transparent and reliable AI systems, while investors gain confidence that AI risks are actively managed and governed.

About TD Bank Group

The Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group (“TD” or the “Bank”). TD is the sixth largest bank in North America by assets and serves 28.1 million clients in four key businesses operating in a number of locations in financial centres around the globe: Canadian Personal and Commercial Banking, including TD Canada Trust and TD Auto Finance Canada; U.S. Banking, including TD Auto Finance U.S., and TD Wealth (U.S.); Wealth Management and Insurance, including TD Wealth (Canada), TD Direct Investing, and TD Insurance; and Wholesale Banking, including TD Securities and TD Cowen. TD also ranks among North America’s leading digital banks, with more than 13 million active mobile users in Canada and the U.S. TD had $2.1 trillion in assets on April 30, 2026. The Toronto-Dominion Bank trades under the symbol “TD” on the Toronto Stock Exchange and New York Stock Exchange.

SOURCE TD Bank Group

Technology

W.A. Chester Awarded Major High-Pressure Fluid-Filled Transmission Infrastructure Project

Published

51 minutes ago

July 30, 2026

New transmission feeder will enhance long-term grid reliability, increase system resiliency, and support future regional power demand

MIAMI BEACH, Fla., July 30, 2026 /PRNewswire/ — W.A. Chester, a division of United Utility Services (UUS), announced today the award of a major underground transmission infrastructure contract involving the installation of a new 230 kV high-pressure fluid-filled (HPFF) circuit. The circuit is part of a broader project that will connect two substations in the city of Miami Beach. Installation, which will span approximately three miles, is scheduled to begin this year and continue through 2028.

The goal of this initiative is to strengthen long-term electric transmission reliability. Key components of the work include multiple over-water horizontal directional drill (HDD) installations, subsea jetting operations, open-trench installation of new 10-inch steel pipe, floating pipe operations, HPFF cable installation, splicing and terminations, fluid-line adjustments, commissioning, and final energization of the new feeder circuit.

W.A. Chester will leverage its extensive experience performing similarly complex submerged HPFF installations, including prior work involving underwater pipe assembly and river-crossing operations.

“This project will provide long-term reliability benefits for the utility provider and the customers who depend on its transmission network every day,” said Brett Hurlburt, President, Operations – Northeast. “By delivering critical infrastructure improvements with a strong focus on safety, quality, and execution certainty, we’re helping support a more resilient power system capable of meeting the region’s growing energy demands for years to come.”

The project further reinforces W.A. Chester’s position as a leading contractor for complex underground and submarine transmission infrastructure throughout North America.

About United Utility Services

United Utility Services is a leading provider of essential infrastructure services for North America’s power grid. UUS provides integrated service solutions—from design, construction, and installation to repairs and maintenance—for electrical power transmission and distribution systems, substations, smart grid solutions, battery storage systems, and more. Visit www.unitedutility.com to learn more.

Contact
Brett Hurlburt
President, Operations – Northeast
United Utility Services
419807@email4pr.com
(504) 584.4943

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SOURCE United Utility Services

Technology

Gist CMO Speaks on the Death of the Click and What Comes Next at Ai4 2026

Published

52 minutes ago

July 30, 2026

Peter Sloterdyk Will Discuss How “AI Eats the Web That Feeds It” on August 4 in Las Vegas

LOS ANGELES, July 30, 2026 /PRNewswire/ — Peter Sloterdyk, Chief Marketing Officer of Gist, aplatform designed to track, measure, and optimize brand visibility across major AI answer engines, will take the stage at Ai4 2026, America’s largest AI industry conference, drawing more than 12,000 attendees to The Venetian in Las Vegas. Presenting the session “AI Eats the Web That Feeds It” at 4:40PM PT on Tuesday, August 4, Sloterdyk will address the supply-side squeeze threatening the open web and Gist’s role in building the infrastructure to understand, analyze, build, and measure brand, publisher, and creator presence in AI answers.

Sloterdyk’s session will deconstruct today’s Q&A economy. In the last two years, small publishers lost roughly 60% of search referrals; AI referrals are nowhere close to replacing them, and the ad supply funding the open web is contracting behind it. He will trace how this shift is rewriting the rules of visibility, moving brands and publishers beyond traditional SEO and into GEO, the emerging discipline for earning credit and relevance inside AI-generated answers.

“The click was the monetization mechanism for the entire open web, and it’s disappearing,” said Sloterdyk. “There’s no ‘page one’ inside an AI conversational answer. A brand is either part of the response, or it is invisible. In this growing zero-click world, the top of the funnel has materially changed. Brands and publishers have a rare chance today to set the stakes for what comes next. There is a first-mover advantage for those that choose not to wait-and-see.”

Gist is an AI visibility platform that helps brands, publishers, and creators stay present in AI-generated answers across all the major LLMs. Its parent company ProRata provides revolutionary attribution technology to ensure that when AI draws on human-created content, the creators receive proper credit and compensation.

Sloterdyk leads global brand strategy, marketing, communications, and growth for Gist, bringing more than two decades of marketing leadership across technology, media, and consumer platforms, with a track record of scaling emerging companies into trusted global brands. Prior to his current role, Sloterdyk served as Global Chief Marketing and Technology Officer at Koala, the Australia-founded direct-to-consumer furniture brand. Before that, he led original series marketing at Netflix, devising campaigns that expanded and engaged the platform’s audience. Sloterdyk formerly led the global marketing organization for the Grindr family of brands, overseeing worldwide marketing, user growth, and brand strategy during a period of rapid international expansion.

About Gist
Gist, a ProRata company, helps brands, publishers, creators, and agencies own the conversation from question to answer. Powered by ProRata’s revolutionary attribution technology, Gist tracks, analyzes, and measures the content that shapes AI answers, so partners understand why AI recommends them, what to do next, and how to maintain authority. For more information, visit www.gist.ai.

About Ai4 2026
Ai4 2026 is America’s largest AI conference, taking place August 4-6, 2026, at The Venetian in Las Vegas. The event brings together thousands of business executives and technology leaders to explore AI agents, generative AI, enterprise AI transformation, and real-world AI applications across every major industry. For more information, visit https://ai4.io/

Press Contact
Frances Alban
Mark Allen & Co.
786.200.4315
419820@email4pr.com

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SOURCE Gist

Technology

Reach3 Insights Launches AI Listening to Help Brands Understand How Generative AI Makes Brand Product Recommendations

Published

52 minutes ago

July 30, 2026

Research solution combines Reach3’s expertise in immersive consumer research with AI analysis to reveal how recommendations vary by audience and buying context

CHICAGO, July 30, 2026 /PRNewswire/ — Reach3 Insights today announced AI Listening, a research solution that helps organizations understand how generative AI recommends brands, products, services, and content. Built on Reach3’s conversational research methodologies and expertise in understanding consumer decision-making, the solution measures how recommendations vary by audience and buying context, helping organizations identify opportunities to improve their visibility across leading AI platforms.

As more consumers turn to platforms such as ChatGPT, Claude, Gemini, Grok and Perplexity to decide what to buy, watch or choose, organizations are working to understand how AI is shaping product and content discovery. Because generative AI tailors recommendations to individual users and specific situations, the same question can produce different answers depending on who is asking and why. AI responses are also probabilistic, meaning even the same user asking the same question in the same situation may receive different results. AI Listening addresses this by recreating user and situational context and testing prompts repeatedly at scale to identify consistent patterns in AI recommendations.

Reach3’s AI Listening solution can be applied across consumer goods, retail, financial services, health care, travel, entertainment and other industries where consumers are turning to AI for recommendations. For example, Warner Bros. Discovery is using the methodology to better understand how audiences discover entertainment content.

“The way people discover content is changing, and AI is becoming part of that process,” said Sofia Gomez Garcia, executive director of Innovation, Special Projects & Global Community Management at Warner Bros. Discovery. “Understanding how our content is recommended, why it appears for different audiences and in different situations, and how those recommendations change depending on user prompt, gives us another way to think about discoverability.”

AI Listening combines client-defined audience personas with demand spaces, or buying occasions, to recreate real-world decision scenarios. The full framework combines qualitative interviews, quantitative research, in-the-moment mobile ethnography, proprietary AI monitoring and vetting of recommendations with real consumers. Organizations can measure AI visibility, understand why recommendations occur and evaluate whether those recommendations resonate with their intended audiences.

“AI doesn’t respond to everyone in the same way,” said Patricia Chapin Bayley, Senior Vice President and product innovation lead for AI Listening at Reach3 Insights. “It responds differently depending on what it knows about the user and the occasion or context they are in. We built AI Listening to recreate those real-world situations at scale so organizations can understand how their brands appear in AI recommendations across different audiences, why they’re being recommended and where they have opportunities to strengthen their AI visibility.”

The solution helps organizations refine web presence, metadata, communications and search strategies while tracking changes in AI visibility over time.

Reach3 Insights is hosting a webinar on AI Listening on August 11 – sign up here: https://www.reach3insights.com/mrii-webinar-ai-listening

About Reach3 Insights
Reach3 Insights is an award-winning, full-service strategic insights consultancy helping leading brands uncover deeper truths and turn human understanding into business impact. Combining industry expertise with AI-driven conversational research methodologies, Reach3 captures the context, emotions and motivations behind consumer behavior for brands like Coca-Cola, Warner Bros. Discovery, PayPal, Samsung and Mars. Through agile research design and story-driven activation, Reach3 delivers richer, more authentic insights that inspire confident decisions and measurable growth. Part of Rival Group, Reach3 was recognized as a Top 5 most innovative full-service agency in Greenbook’s 2025 GRIT report. reach3insights.com

Media contact:
Marie Melsheimer
419888@email4pr.com
+1-541-815-3951

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SOURCE Reach3 Insights