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Technical foundation

CreateAI Platform

The future of AI in education

The CreateAI Platform is a platform that accelerates world-class AI innovation at ASU by empowering the ASU community to build and engage with AI-enabled products in a secure environment. It takes the challenging parts of building AI and transforms them into easy-to-understand tools for those who want to use AI but might not have engineering backgrounds. This marks a milestone in bridging the gap between cutting-edge research and tangible, real-world AI applications.

The development of this platform requires investment in advanced AI machine learning (ML) and data science resources, as well as costs for technology infrastructure and computing, which is a large barrier for most. CreateAI aims to lower that barrier and enable the ASU community to easily try, pilot, and build with the latest AI tools.

The platform is a model and cloud independent environment allowing ASU to have access to the best of class technology regardless of vendor.  Ultimately, our goal is to revolutionize the creation of evidence-based educational experiences, making it more personalized, cost-effective, and accessible for the entire ASU community.

CreateAI Platform


With generative AI, the only constant is change and the CreateAI Platform is built for constant change. With our modularized approach to development we can switch out and add on components from vector databases to guardrail approaches to generative AI models as new technology becomes available. The platform is completely within the ASU garden wall with no data being given to 3rd parties providing a private and secure environment to build upon.

CreateAI Platform features

  • Enterprise-grade security and privacy 
  • Develop and deploy your own AI models and AI-powered products
  • Conversational agents tailored to your use cases
  • Expand your AI agent's performance by uploading documents
  • Ethical AI Engine
  • Access to 20+ large language models (LLMs)
  • Choice of multiple vector databases
  • Single-Sign-On (SSO)
  • Tools to facilitate detecting AI biases and harmful content
  • Ethics committee governance
  • Document upload extraction and ingestion
  • Model and Cloud Independent
  • Exclusive Application Programming Interface (API)
  • Access control and audit logs
  • Advanced AI cloud service capabilities
  • Higher, enterprise speed performance

Ethical AI Engine


The use of Generative AI may generate biased results due to explicit or implicit human biases in its training data. Currently, industry-wide research is active in addressing and mitigating biases and other harmful outputs in generative AI, focusing on creating safer and more reliable AI technologies.

At ASU, we're setting new standards for ethical AI with our Ethical AI Engine. Our team of expert data scientists developed multifaceted evaluations to screen AI output for bias, accuracy, and ethical integrity, including fairness and resistance to disinformation. This innovative framework is comprehensive and extends evaluation to key aspects of AI usability—including response accuracy, processing speed, and propensity for hallucinations—alongside critical ethical considerations such handling of sensitive queries.

The Ethical AI Engine ensures AI technologies adhere to our principles of ethical innovation, serving as a cornerstone in developing beneficial and reliable AI. It establishes benchmarks for all collaborations, including with AI vendor partners, underpinning our commitment to creating AI that genuinely serves humanity.

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Solving enterprise challenges


Our diverse community of faculty and staff members from various disciplines, including those without a background in software engineering or development, are enabled through our collaborative approach to create enriching AI experiences for the entire university.

Betaland

Community Showcase

Betaland is a community showcase for the ASU community, enabling them to explore and trial beta applications developed on the CreateAI Platform. It offers a suite of tools for AI innovation, supporting activities from experimenting with large language models (LLMs), refining prompts, to compiling data sets and developing personalized AI projects. Anyone at ASU can build and test proof of concepts and beta experiences without any engineering background.

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AI-enabled products

Ethical foundations grounded in Principled Innovation


Through our cutting-edge models that drive transformation and rapid experimentation while upholding the tenets of Principled Innovation®, this platform is crucial for propelling AI projects and enabling large-scale innovation.

This framework guides our ability to imagine new concepts, catalyze ideas and form new solutions, guided by principles that create positive change for humanity.

 

Faculty Ethics Committee on AI technology

The Faculty Ethics Committee on AI technology supports Enterprise Technology in advising on ethical practices and responsible design in an environment of constant change. The committee’s primary responsibility is to review, advise and shape guidelines/guardrails related to AI use in technology products. The group has 3 main goals:

  1. Contribute to the development and continual evolution of a set of guidelines and guardrails that AI-enabled technology products should adhere to.
  2. Committee members are involved in the technology development process, reviewing AI-enabled technology solutions at various stages, from proposed to developed, to guide adherence to ethical practices and uses.
  3. Contribute to whitepapers, meetings, or other educational forums to help the team and broader ASU community stay up-to-date on the latest in AI ethics in technology.

The committee’s expertise in ethics and AI’s potential implications enables them to analyze the ethical challenges associated with AI technologies, including data privacy, bias, transparency, and social impact. The committee fosters a comprehensive understanding of AI's ethical complexities by collaborating with different stakeholders, such as researchers, administrators, and external experts.

With their collective knowledge, the committee strives to establish an ethical framework that aligns with the university’s values and meets societal expectations. They also provide educational resources and conduct educational campaigns to promote responsible AI use and cultivate an ethical AI technology culture.

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Meet the AI Acceleration team


The AI Acceleration team’s mission is to use artificial intelligence and machine learning to revolutionize the student experience, advance research excellence, and expand ASU's impact on society. 

Through the lens of  Principled Innovation®, we embrace AI not as a replacement for human intelligence but as an amplifier of human creativity and problem-solving to help unlock each learner's full potential.

Leadership

Elizabeth Reilley

Elizabeth Reilley

Executive Director, AI Acceleration

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Zohair Zaidi

Zohair Zaidi

Director AI Technology

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Program & Design

  Paul Alvarado

Paul Alvarado

AI Program Manager

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  Ayat

Ayat Sweid

AI Program Manager

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Joel Longie

Joel Longie

Sr. UI/UX Designer

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Data Science

 Wenxing

Stella Wenxing Liu

Lead Data Scientist

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 Siri Kopparapu

Siri Kopparapu

Data Science Student Worker

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 Varun

Varun Shourie

Data Scientist

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 Hailey S.

Hailey Stevens-Macfarlane

Data Scientist

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 Ishrat

Ishrat Ahmed

Postdoctoral Research Scholar

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AI Development

Nick Sefiddashti

Nick Sefiddashti

AI Solution Architect and Chapter Lead

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 Vaishnavi Channakeshava

Vaishnavi Channakeshava

MLOps Engineer

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 Rahul

Rahul Shah

AI Full-Stack Developer

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 Jay

Jay Mistry

AI Full-Stack Developer

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 Thomas

Tom Ford

AI Orchestration Engineer

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Siddharth Jain

Siddharth Jain

MLOps & AI Development Engineer

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 Sujith

Sujith Tellakula

AI Full-Stack Developer

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 Vignesh Iyer

Vignesh Iyer

AI Full-Stack Developer

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Krishna Sriharsha Gundu

Krishna Sriharsha Gundu

Sr. AI Development Engineer

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Ameya A. Shahane

Ameya A. Shahane

MLOps & AI Development Engineer

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 Shubham

Shubham Singh

AI Full-Stack Developer

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 Cyriac

Cyriac Biju Narayamparambil

AI Full-Stack Developer

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 Riyank

Riyank Mukhopadhyay

MLOps Engineer

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 Tanmay

Tanmay Parulekar

AI Full-Stack Developer

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 Tirth

Tirth Hihoriya

AI Full-Stack Developer

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 Narain Pattabhiraman

Narain Pattabhiraman

AI Full-Stack Developer

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Data Architecture and Enrichment

Josh Johnson

Josh Johnson

Data Architect

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 Kaelah

Kaelah Fordyce

Business Intelligence Analyst Sr.

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 Ezzy

Esmeralda (Ezzy) Angel

Business Intelligence Developer Principal

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 Kendal B

Kendal Burkhart

Business Intelligence Developer

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