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Chicheng Zhang receives NSF CAREER Award for advancing responsible and efficient interactive AI systems

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Dr. Chicheng Zhang, an assistant professor in the Department of Computer Science at the University of Arizona, has received a prestigious National Science Foundation CAREER Award to support his groundbreaking work on interactive machine learning — a class of artificial intelligence (AI) systems that learn by engaging directly with the world around them.

Unlike traditional machine learning that rely on static datasets, interactive learning agents gather data through adaptive experimentation, making them well-suited for real-world applications where collecting data is costly or safety-critical — such as autonomous driving and human-facing AI systems like chatbots.

Dr. Zhang’s project, titled, “Foundations of Interactive Machine Learning with Rich Feedback,” seeks to tackle several persistent challenges in the field: improving data efficiency, ensuring safety, and enabling the reuse of data collected by learning systems. His team will develop algorithms that not only come with robust theoretical guarantees but also perform better under real-world constraints.

“I am grateful to the NSF for supporting my research group’s efforts to understand and harness the power of interaction in machine learning,” said Dr. Zhang. “I’m also excited about the possibility to translate the theoretical insights we develop into practical algorithms for real-world applications, including those in robotics and wireless communications where I have active collaborations.”

The project’s research is organized around three major themes. The first focuses on interactive learning for single-step decision making, specifically active learning — where algorithms intelligently choose what data to request — particularly in scenarios involving complex models such as neural networks. The second thrust addresses interactive learning for sequential decision-making, developing safer and more reliable methods for AI systems to learn from human demonstrations and interventions. The third seeks to bridge the gap between interactive learning and conventional offline learning, by enabling systems to effectively reuse past data, a key step toward building AI that improves continually over time.

In addition to research, the award supports a broad education and outreach plan. Zhang will lead an intramural lecture series in partnership with the University of Arizona DataLab, host middle school outreach events through the Department of Computer Science’s Ambassadors Program, and mentor undergraduate students through hands-on research experiences and curriculum innovation.

“NSF CAREER Awards are extremely competitive and very prestigious, so Prof. Zhang’s CAREER Award reflects the high regard that he has achieved as a well-respected and impactful researcher in the machine learning community,” said Dr. Ellen Riloff, professor and head of Computer Science at U of A. “Prof. Zhang’s new research project will develop novel methods in interactive machine learning that will produce principled and practical state-of-the-art techniques for training AI systems efficiently. This award provides valuable support to grow Dr. Zhang’s machine learning research lab in the Computer Science department and includes an educational component and outreach plan to encourage students to pursue careers in artificial intelligence and machine learning.”

The NSF CAREER Award is one of the foundation’s most prestigious honors, recognizing early-career faculty who demonstrate the potential to serve as academic role models in research and education. Zhang joins a growing list of awardees at the University of Arizona and College of Science who are driving innovation at the intersection of computing, science, and society.

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Learn more about Dr. Zhang and his research here.



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New Research Reveals IT’s Role in AI Orchestration

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Today, most IT teams are stuck in reactive mode instead of realizing their full potential as drivers of innovation. That’s according to a new Forrester Consulting study, commissioned by Tines, which reveals that IT has a key role to play in scaling AI. However, many teams are being held back by organizational barriers, limiting their impact.

The study, Unlocking AI’s Full Value: How IT Orchestrates Secure, Scalable Innovation, surveyed over 400 IT leaders across North America and Europe to explore the challenges and opportunities they’re currently facing. It found that governance and security, lack of budget and executive sponsorship, and siloed initiatives are the biggest blockers stalling progress when it comes to scaling AI.

Orchestration connects people, processes, and tools and is critical to overcoming these barriers. But while 86% believe IT is uniquely positioned to orchestrate AI across workflows, systems, and teams, many organizations have yet to fully recognize IT’s role as a strategic driver.

The critical role of orchestration

Businesses are eager to reap the benefits of AI, like enhanced efficiency, improved decision-making, and faster innovation. But fragmented implementation and gaps in governance expose them to significant risks, such as bias, ethical breaches, compliance failures, and shadow AI, which could lead to regulatory penalties or reputational damage.

Related:Beyond the Moat: Why There Is Safety in Layers

Ensuring AI solutions comply with privacy and governance regulations is the top business priority for more than half (54%) of the organizations surveyed over the next 12 months. Yet, over a third (38%) cite security or governance concerns as the number-one barrier to scaling AI.

With orchestration, organizations can drive a compliance-first approach. It enables enterprises to build governance and security into AI workflows and processes, setting them up for success as they scale their initiatives. While traditional governance processes struggle to adapt to the evolving demands of AI, orchestration allows for greater oversight, efficiency, and flexibility.

Indeed, 88% of IT leaders say that without orchestration, AI adoption remains fragmented across the organization. Lack of orchestration also exacerbates challenges such as:

  • Ensuring AI practices are ethical and transparent (50%)

  • Security concerns related to data access, compliance issues, inconsistent governance, auditing, and shadow AI (44%)

  • Lack of employee trust in the outcomes generated by AI (40%)

A robust orchestration framework can address these key barriers. Almost three-quarters (73%) of IT leaders highlight the importance of end-to-end visibility across AI workflows and systems. Orchestration enforces consistency, breaks down silos, and enables leaders to:

Related:How to Shift Security Left in Complex Multi-Cloud Environments

  • Align AI with business goals

  • Monitor performance in real time

  • Quickly address any security and governance issues that arise

The result is improved efficiency, greater control, and more consistent governance. Together, these help demonstrate responsible AI use, build employee trust, and unlock capacity for innovation.

IT is primed to lead AI orchestration

IT teams have a pivotal role to play in AI orchestration. Of the leaders surveyed:

  • 38% believe IT should own and lead AI orchestration

  • 28% see IT as the coordination hub between departments

  • 84% say aligning AI initiatives with enterprise strategy is a top priority for their function

Orchestration presents a significant opportunity for IT to deepen their strategic influence. While the function is increasingly recognized as an enabler of efficiency, 38% of IT leaders believe they are still overlooked or underestimated.

They attribute this to a lack of business visibility into IT contributions and a reactive focus on troubleshooting and uptime, both of which respondents say hold IT back from being seen as a driver of business outcomes at the board level.

Related:The New Front Line: API Risk in the Age of AI-Powered Attacks

With AI orchestration, IT can shift from reactive to proactive and become a strategic force. In addition to improving operations and upholding governance standards, IT leaders say that orchestration will accelerate progress in key areas like:

  • Enhancing collaboration between business units

  • Enabling faster ongoing digital transformation

  • Increasing employee productivity

  • Reducing human error in critical processes

This unlocks tangible business value across the organization in the form of efficiency gains, revenue opportunities, and ROI.

To achieve this, however, the research highlights the importance of both technical and non-technical factors. Integrated platforms and no-code or low-code AI automation tools help IT take the lead, but executive sponsorship and cross-functional collaboration models are equally important to ensure success.

Shaping the future with compliance-first AI

The research shows that IT is the best-placed org to drive AI adoption through orchestration, giving them the visibility and control they need to scale AI securely, compliantly, and effectively across the enterprise. But it’s only by bridging the gap between technical requirements and executive priorities that IT can unlock their full potential and shape their organization’s success.

To learn more about IT’s role in AI orchestration, read the full study.





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UK universities face a major AI disruption

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AI has experienced massive growth in the past few years, and its rise has disrupted not only global markets and jobs but also society as a whole.

Some experts posit that AI will steal 99% of jobs by 2030 — don’t let that fool you into thinking that company profits will do anything but soar — while a recent report from Stanford University found that AI is mostly stealing jobs from young professionals.



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How artists, writers and designers can benefit from Artificial Intelligence – Deccan Herald

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How artists, writers and designers can benefit from Artificial Intelligence  Deccan Herald



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