Deven Desai and Mark Riedl have seen the signs for a while. 

Two years since OpenAI introduced ChatGPT, dozens of lawsuits have been filed alleging technology companies have infringed copyright by using published works to train artificial intelligence (AI) models.

Academic AI research efforts could be significantly hindered if courts rule in the plaintiffs' favor. 

Desai and Riedl are Georgia Tech researchers raising awareness about how these court rulings could force academic researchers to construct new AI models with limited training data. The two collaborated on a benchmark academic paper that examines the landscape of the ethical issues surrounding AI and copyright in industry and academic spaces.

“There are scenarios where courts may overreact to having a book corpus on your computer, and you didn’t pay for it,” Riedl said. “If you trained a model for an academic paper, as my students often do, that’s not a problem right now. The courts could deem training is not fair use. That would have huge implications for academia.

“We want academics to be free to do their research without fear of repercussions in the marketplace because they’re not competing in the marketplace,” Riedl said. 

Desai is the Sue and John Stanton Professor of Business Law and Ethics at the Scheller College of Business. He researches how business interests and new technology shape privacy, intellectual property, and competition law. Riedl is a professor at the College of Computing’s School of Interactive Computing, researching human-centered AI, generative AI, explainable AI, and gaming AI. 

Their paper, Between Copyright and Computer Science: The Law and Ethics of Generative AI, was published in the Northwestern Journal of Technology and Intellectual Property on Monday.

Desai and Riedl say they want to offer solutions that balance the interests of various stakeholders. But that requires compromise from all sides.

Researchers should accept they may have to pay for the data they use to train AI models. Content creators, on the other hand, should receive compensation, but they may need to accept less money to ensure data remains affordable for academic researchers to acquire.

Who Benefits?

The doctrine of fair use is at the center of every copyright debate. According to the U.S. Copyright Office, fair use permits the unlicensed use of copyright-protected works in certain circumstances, such as distributing information for the public good, including teaching and research.

Fair use is often challenged when one or more parties profit from published works without compensating the authors.

Any original published content, including a personal website on the internet, is protected by copyright. However, copyrighted material is republished on websites or posted on social media innumerable times every day without the consent of the original authors. 

In most cases, it’s unlikely copyright violators gained financially from their infringement.

But Desai said business-to-business cases are different. The New York Times is one of many daily newspapers and media companies that have sued OpenAI for using its content as training data. Microsoft is also a defendant in The New York Times’ suit because it invested billions of dollars into OpenAI’s development of AI tools like ChatGPT.

“You can take a copyrighted photo and put it in your Twitter post or whatever you want,” Desai said. “That’s probably annoying to the owner. Economically, they probably wanted to be paid. But that’s not business to business. What’s happening with Open AI and The New York Times is business to business. That’s big money.”

OpenAI started as a nonprofit dedicated to the safe development of artificial general intelligence (AGI) — AI that, in theory, can rival human thinking and possess autonomy.

These AI models would require massive amounts of data and expensive supercomputers to process that data. OpenAI could not raise enough money to afford such resources, so it created a for-profit arm controlled by its parent nonprofit.

Desai, Riedl, and many others argue that OpenAI ceased its research mission for the public good and began developing consumer products. 

“If you’re doing basic research that you’re not releasing to the world, it doesn’t matter if every so often it plagiarizes The New York Times,” Riedl said. “No one is economically benefitting from that. When they became a for-profit and produced a product, now they were making money from plagiarized text.”

OpenAI’s for-profit arm is valued at $80 billion, but content creators have not received a dime since the company has scraped massive amounts of copyrighted material as training data.

The New York Times has posted warnings on its sites that its content cannot be used to train AI models. Many other websites offer a robot.txt file that contains instructions for bots about which pages can and cannot be accessed. 

Neither of these measures are legally binding and are often ignored.

Solutions

Desai and Riedl offer a few options for companies to show good faith in rectifying the situation.

• Spend the money. Desai says Open AI and Microsoft could have afforded its training data and avoided the hassle of legal consequences.
  
  “If you do the math on the costs to buy the books and copy them, they could have paid for them,” he said. “It would’ve been a multi-million dollar investment, but they’re a multi-billion dollar company.”
   
• Be selective. Models can be trained on randomly selected texts from published works, allowing the model to understand the writing style without plagiarizing. 
  
  “I don’t need the entire text of War and Peace,” Desai said. “To capture the way authors express themselves, I might only need a hundred pages. I’ve also reduced the chance that my model will cough up entire texts.”
   
• Leverage libraries. The authors agree libraries could serve as an ideal middle ground as a place to store published works and compensate authors for access to those works, though the amount may be less than desired.
  
  “Most of the objections you could raise are taken care of,” Desai said. “They are legitimate access copies that are secure. You get access to only as much as you need. Libraries at universities have already become schools of information.”

Desai and Riedl hope the legal action taken by publications like The New York Times will send a message to companies that develop AI tools to pump the breaks. If they don’t, researchers uninterested in profit could pay the steepest price.

The authors say it’s not a new problem but is reaching a boiling point.

“In the history of copyright, there are ways that society has dealt with the problem of compensating creators and technology that copies or reduces your ability to extract money from your creation,” Desai said. “We wanted to point out there’s a way to get there.”

The Cloud Hub, a key initiative of the Institute for Data Engineering and Science (IDEaS) at Georgia Tech, recently concluded a successful Call for Proposals focused on advancing the field of Generative Artificial Intelligence (GenAI). This initiative, made possible by a generous gift funding from Microsoft, aims to push the boundaries of GenAI research by supporting projects that explore both foundational aspects and innovative applications of this cutting-edge technology.

Call for Proposals: A Gateway to Innovation

Launched in early 2024, the Call for Proposals invited researchers from across Georgia Tech to submit their innovative ideas on GenAI. The scope was broad, encouraging proposals that spanned foundational research, system advancements, and novel applications in various disciplines, including arts, sciences, business, and engineering. A special emphasis was placed on projects that addressed responsible and ethical AI use.

The response from the Georgia Tech research community was overwhelming, with 76 proposals submitted by teams eager to explore this transformative technology. After a rigorous selection process, eight projects were selected for support. Each awarded team will also benefit from access to Microsoft’s Azure cloud resources..

Recognizing Microsoft’s Generous Contribution

This successful initiative was made possible through the generous support of Microsoft, whose contribution of research resources has empowered Georgia Tech researchers to explore new frontiers in GenAI. By providing access to Azure’s advanced tools and services, Microsoft has played a pivotal role in accelerating GenAI research at Georgia Tech, enabling researchers to tackle some of the most pressing challenges and opportunities in this rapidly evolving field.

Looking Ahead: Pioneering the Future of GenAI

The awarded projects, set to commence in Fall 2024, represent a diverse array of research directions, from improving the capabilities of large language models to innovative applications in data management and interdisciplinary collaborations. These projects are expected to make significant contributions to the body of knowledge in GenAI and are poised to have a lasting impact on the industry and beyond.

IDEaS and the Cloud Hub are committed to supporting these teams as they embark on their research journeys. The outcomes of these projects will be shared through publications and highlighted on the Cloud Hub web portal, ensuring visibility for the groundbreaking work enabled by this initiative.

Congratulations to the Fall 2024 Winners

• Annalisa Bracco | EAS "Modeling the Dispersal and Connectivity of Marine Larvae with GenAI Agents" [proposal co-funded with support from the Brook Byers Institute for Sustainable Systems]
• Yunan Luo | CSE “Designing New and Diverse Proteins with Generative AI”
• Kartik Goyal | IC “Generative AI for Greco-Roman Architectural Reconstruction: From Partial Unstructured Archaeological Descriptions to Structured Architectural Plans”
• Victor Fung | CSE “Intelligent LLM Agents for Materials Design and Automated Experimentation”
• Noura Howell | LMC “Applying Generative AI for STEM Education: Supporting AI literacy and community engagement with marginalized youth”
• Neha Kumar | IC “Towards Responsible Integration of Generative AI in Creative Game Development”
• Maureen Linden | Design “Best Practices in Generative AI Used in the Creation of Accessible Alternative Formats for People with Disabilities”
• Surya Kalidindi | ME & MSE “Accelerating Materials Development Through Generative AI Based Dimensionality Expansion Techniques”
• Tuo Zhao | ISyE “Adaptive and Robust Alignment of LLMs with Complex Rewards”

A research group is calling for internet and social media moderators to strengthen their detection and intervention protocols for violent speech. 

Their study of language detection software found that algorithms struggle to differentiate anti-Asian violence-provoking speech from general hate speech. Left unchecked, threats of violence online can go unnoticed and turn into real-world attacks. 

Researchers from Georgia Tech and the Anti-Defamation League (ADL) teamed together in the study. They made their discovery while testing natural language processing (NLP) models trained on data they crowdsourced from Asian communities. 

“The Covid-19 pandemic brought attention to how dangerous violence-provoking speech can be. There was a clear increase in reports of anti-Asian violence and hate crimes,” said Gaurav Verma, a Georgia Tech Ph.D. candidate who led the study. 

“Such speech is often amplified on social platforms, which in turn fuels anti-Asian sentiments and attacks.”

Violence-provoking speech differs from more commonly studied forms of harmful speech, like hate speech. While hate speech denigrates or insults a group, violence-provoking speech implicitly or explicitly encourages violence against targeted communities.

Humans can define and characterize violent speech as a subset of hateful speech. However, computer models struggle to tell the difference due to subtle cues and implications in language.

The researchers tested five different NLP classifiers and analyzed their F1 score, which measures a model's performance. The classifiers reported a 0.89 score for detecting hate speech, while detecting violence-provoking speech was only 0.69. This contrast highlights the notable gap between these tools and their accuracy and reliability. 

The study stresses the importance of developing more refined methods for detecting violence-provoking speech. Internet misinformation and inflammatory rhetoric escalate tensions that lead to real-world violence. 

The Covid-19 pandemic exemplified how public health crises intensify this behavior, helping inspire the study. The group cited that anti-Asian crime across the U.S. increased by 339% in 2021 due to malicious content blaming Asians for the virus. 

The researchers believe their findings show the effectiveness of community-centric approaches to problems dealing with harmful speech. These approaches would enable informed decision-making between policymakers, targeted communities, and developers of online platforms.

Along with stronger models for detecting violence-provoking speech, the group discusses a direct solution: a tiered penalty system on online platforms. Tiered systems align penalties with severity of offenses, acting as both deterrent and intervention to different levels of harmful speech. 

“We believe that we cannot tackle a problem that affects a community without involving people who are directly impacted,” said Jiawei Zhou, a Ph.D. student who studies human-centered computing at Georgia Tech. 

“By collaborating with experts and community members, we ensure our research builds on front-line efforts to combat violence-provoking speech while remaining rooted in real experiences and needs of the targeted community.”

The researchers trained their tested NLP classifiers on a dataset crowdsourced from a survey of 120 participants who self-identified as Asian community members. In the survey, the participants labeled 1,000 posts from X (formerly Twitter) as containing either violence-provoking speech, hateful speech, or neither.

Since characterizing violence-provoking speech is not universal, the researchers created a specialized codebook for survey participants. The participants studied the codebook before their survey and used an abridged version while labeling. 

To create the codebook, the group used an initial set of anti-Asian keywords to scan posts on X from January 2020 to February 2023. This tactic yielded 420,000 posts containing harmful, anti-Asian language. 

The researchers then filtered the batch through new keywords and phrases. This refined the sample to 4,000 posts that potentially contained violence-provoking content. Keywords and phrases were added to the codebook while the filtered posts were used in the labeling survey.

The team used discussion and pilot testing to validate its codebook. During trial testing, pilots labeled 100 Twitter posts to ensure the sound design of the Asian community survey. The group also sent the codebook to the ADL for review and incorporated the organization’s feedback. 

“One of the major challenges in studying violence-provoking content online is effective data collection and funneling down because most platforms actively moderate and remove overtly hateful and violent material,” said Tech alumnus Rynaa Grover (M.S. CS 2024).

“To address the complexities of this data, we developed an innovative pipeline that deals with the scale of this data in a community-aware manner.”

Emphasis on community input extended into collaboration within Georgia Tech’s College of Computing. Faculty members Srijan Kumar and Munmun De Choudhury oversaw the research that their students spearheaded.

Kumar, an assistant professor in the School of Computational Science and Engineering, advises Verma and Grover. His expertise is in artificial intelligence, data mining, and online safety.

De Choudhury is an associate professor in the School of Interactive Computing and advises Zhou. Their research connects societal mental health and social media interactions.

The Georgia Tech researchers partnered with the ADL, a leading non-governmental organization that combats real-world hate and extremism. ADL researchers Binny Mathew and Jordan Kraemer co-authored the paper.

The group will present its paper at the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), which takes place in Bangkok, Thailand, Aug. 11-16 

ACL 2024 accepted 40 papers written by Georgia Tech researchers. Of the 12 Georgia Tech faculty who authored papers accepted at the conference, nine are from the College of Computing, including Kumar and De Choudhury.

“It is great to see that the peers and research community recognize the importance of community-centric work that provides grounded insights about the capabilities of leading language models,” Verma said. 

“We hope the platform encourages more work that presents community-centered perspectives on important societal problems.” 

Visit https://sites.gatech.edu/research/acl-2024/ for news and coverage of Georgia Tech research presented at ACL 2024.

Hyundai Motor Group Innovation Center Singapore hosted the Meta-Factory Conference Jan. 23 – 24. It brought together academic leaders, industry experts, and manufacturing companies to discuss technology and the next generation of integrated manufacturing facilities.

Seth Hutchinson, executive director of the Institute for Robotics and Intelligent Machines at Georgia Tech, delivered a keynote lecture on “The Impacts of Today’s Robotics Innovation on the Relationship Between Robots and Their Human Co-Workers in Manufacturing Applications” — an overview of current state-of-the-art robotic technologies and future research trends for developing robotics aimed at interactions with human workers in manufacturing.

In addition to the keynote, Hutchinson also participated in the Hyundai Motor Group's Smart Factory Executive Technology Advisory Committee (E-TAC) panel on comprehensive future manufacturing directions and toured the new Hyundai Meta-Factory to observe how digital-twin technology is being applied in their human-robot collaborative manufacturing environment.

Hutchinson is a professor in the School of Interactive Computing. He received his Ph.D. from Purdue University in 1988, and in 1990 joined the University of Illinois Urbana-Champaign, where he was professor of electrical and computer engineering until 2017 and is currently professor emeritus. He has served on the Hyundai Motor Group's Smart Factory E-TAC since 2022.

Hyundai Motor Group Innovation Center Singapore is Hyundai Motor Group’s open innovation hub to support research and development of human-centered smart manufacturing processes using advanced technologies such as artificial intelligence, the Internet of Things, and robotics.

- Christa M. Ernst

Related Links

• Hyundai Newsroom Article: Link
• Event Link: https://mfc2024.com/
• Keynote Speakers: https://mfc2024.com/keynotes/

In front of a standing-room-only crowd inside the John Lewis Student Center's Atlantic Theater, global leaders from the Hyundai Motor Group and Georgia Tech signed a memorandum of understanding, creating a transformative partnership focused on sustainable mobility, the hydrogen economy, and workforce development.  

As the automaker continues to construct its Metaplant America site in Bryan County — the cornerstone of Hyundai's $12 billion investment into electric vehicles and battery production across the state of Georgia — today's signing ceremony symbolizes the vision that Hyundai and Georgia Tech share on the road to advancing technology and improving the human condition. 

"As a leading public technological research university, we believe we have the opportunity and the responsibility to serve society, and that technology and the science and policy that support it must change our world for the better. These are responsibilities and challenges that we boldly accept. And we know we can't get there alone. On the contrary, we need travel partners, like-minded innovators, and partners with whom we can go farther, and today's partnership with Hyundai is a perfect example of what that means," Georgia Tech President Ángel Cabrera said.  

The state of Georgia and the Institute have positioned themselves as leaders in the electrification of the automotive industry. Hyundai is among the top sellers of electric vehicles in the United States as the company aims to produce up to 500,000 vehicles annually at the $7 billion Savannah plant when production begins in 2025. The plant will create 8,500 jobs, and the company's total investments are projected to inject tens of billions of dollars into the state economy while spurring the creation of up to 40,000 jobs.  

"It's clear, we are in the right place with the right partners," Jay Chang, president and CEO of Hyundai Motor Company, said. "When our executive chairman first decided on [the site of] the metaplant, one of the first things he said was, 'Make sure we collaborate with Georgia Tech.’ Hyundai and Georgia Tech have a lot in common. We have proud histories. We celebrate excellence, and we have very high standards. What we love about Georgia Tech is the vision to be a leading research university that addresses global challenges and develops exceptional leaders from all backgrounds."  

Spearheading new opportunities for students, the partnership will create technical training and leadership development programming for Hyundai employees and initiate engagement activities to stimulate interest in STEM degrees among students. 

José Muñoz, president and global COO of Hyundai Motor Company and president and CEO of Hyundai and Genesis Motor North America, says the company quickly realized the potential impact of the newly forged partnership with Georgia Tech.  

"Proximity to institutions like Georgia Tech was one of the many reasons Hyundai selected Georgia for our new EV manufacturing facility. Imagine zero-emissions, hydrogen-powered vehicles here on campus, advanced air mobility shuttling people to Hartsfield-Jackson Atlanta International Airport, or riding hands-free and stress-free in autonomous vehicles during rush hour on I-75 and I-85. Together, Georgia Tech and Hyundai have the resources to fundamentally improve how people and goods move," he said. 

In pursuit of sustainability, Hyundai has invested heavily in the potential of hydrogen and plans to lean on the Institute's expertise to explore the potential of the alternative fuel source, primarily for commercial vehicles. Hyundai has deployed its hydrogen-powered XCIENT rigs to transport materials in five countries. 

University System of Georgia Chancellor Sonny Perdue was on hand for Tuesday’s ceremony. Reflecting on his visits to the company's global headquarters in South Korea prior to the construction of the West Point, Georgia, Kia plant, he praised the company's values and world-class engineering ability.    

"This is a relationship built on mutual trust and respect. It's a company, a family atmosphere, and a culture that I respect and admire for the way they do business and honor progress, innovation, and creativity. That is why I am so excited about this partnership between the Hyundai Motor Group and the Georgia Institute of Technology because that will only enhance that," Perdue said. 

Owned by Hyundai, Kia recently invested an additional $200 million into its West Point facility to prepare for the production of the all-electric 2024 EV9 SUV. The plant currently manufactures more than 40% of all Kia models sold in the U.S.  

The partnership also includes field-naming recognition at Bobby Dodd Stadium, which is now known as Bobby Dodd Stadium at Hyundai Field, and provides student-athletes and teams with the resources needed to compete at the highest levels, both athletically and academically.

Idling at a crossroads no longer, the automotive industry is embracing electrification like never before. With more electric vehicles purchased in 2022 than any year prior, consumers are beginning to follow their lead. Yet, while opportunity abounds, new challenges will require an innovative approach to ensure a sustainable and accessible electric future for all.

With historic investments from major players in the EV space, including Rivian, Kia, and Hyundai, the state of Georgia is uniquely positioned to serve as a leader in this effort. As the state's leading research institute, Georgia Tech is on the cutting edge of the movement. 

The transportation sector is the largest greenhouse gas emitter in the U.S. at nearly 30%, with passenger vehicles accounting for around 80% of the sector's total output1 as of 2019. Electric vehicles are widely regarded as a budding solution to reduce emissions, but even as both demand and production continue to increase, EVs currently account for around 1% of the cars on America's roadways. 

From the supply chain to the infrastructure needed to support alternative-fuel vehicles alongside consumer hesitancy, achieving the goals set by both the public and private sectors — including the Biden Administration's target of EVs making up at least 50% of new car sales by 2030 — will not be easy. Through research and development, policy, and collaboration, Tech experts are working toward finding solutions that will serve as catalysts during this transitionary period for the environment and the way Americans drive.

Check out the full story. 

Aaron Stebner outlined an aggressive plan for artificial intelligence and manufacturing when he applied for a faculty position in 2019. In his cover letter, he promised “to establish the Georgia Institute of Technology as a world leader in additive manufacturing of solid materials (ceramics & metals) R&D, especially in the fusion of data sciences and AI to create new, world-leading technologies.”

Stebner thought it would take 10-15 years of incremental steps and funding to achieve the goal. He was wrong.

Thanks to a new $65 million grant from the U.S. Department of Commerce’s Economic Development Administration, announced by President Joe Biden, Stebner’s plan will begin to become a reality — and include the entire state of Georgia and all of its manufacturing sectors from agriculture to airplanes — two years after arriving on campus.

The largest of the nine projects within the larger Georgia AI Manufacturing (GA-AIM) technology corridor grant will allow Stebner and Georgia Tech to transform the Advanced Manufacturing Pilot Facility (AMPF) into the Artificial Intelligence Manufacturing Pilot Facility (AI-MPF). The 24,000 square-foot facility on 14th Street will more than double in size after Georgia Tech and statewide GA-AIM partners were selected as one of 21 Phase II awardees in the $1 billion Build Back Better Regional Challenge (BBB) competition, part of the Investing in America’s Communities initiative under the American Rescue Plan Act of 2021.

AMPF has been a shell waiting for a vision like Build Back Better to fill it out,” said Stebner, associate professor the George W. Woodruff School of Mechanical Engineering and the School of Materials Science and Engineering. “Now we will transform the facility into one of the nation’s first manufacturing labs designed for autonomy with the goal of helping the state and the nation to be world AI manufacturing leaders.”

Read the entire story on the College of Engineering website. 

School of Industrial and Systems Engineering Professor Pinar Keskinocak was recognized at Georgia Tech’s annual 2022 Faculty and Staff Honors Luncheon with the Class of 1934 Outstanding Service Award. The award recognizes her long service both to the Institute and to her field.

Keskinocak has long served as a leader with the Institute for Operations Research and the Management Sciences (INFORMS). A fellow with the institute, she has served as president, vice president of membership and professional recognition, and is the co-founder and former president of the INFORMS Section on Public Programs, Service, and Needs, and the president of the INFORMS Health Applications Society.

At Georgia Tech she has also served as the College of Engineering Advance Professor for six years and was a leading voice over the past three years of the Covid-19 pandemic. In addition to working with the Georgia Department of Public Health, she served on the Institute’s Covid task force helping to establish an institutional approach to the pandemic.

“It’s an honor, first of all, to have had the opportunity to serve,” she said. “Our communities at Georgia Tech and beyond are wonderful, so to be recognized among all of these outstanding contributors is a great honor.”

Keskinocak’s research focuses on the application of operations research and management science with society impact, particularly regarding health and humanitarian applications, supply chain management, and logistics. She is the director of ISyE’s Center for Health and Humanitarian Systems. Recent work has focused on infectious disease modeling in response to Covid-19.

Read more about Keskinocak’s latest research here: New Study Shows Hybrid Learning Led to Significant Reduction in Covid-19 Spread

By Frida Carrera

On Wednesday, April 13th 2022, the Undergraduate Research Opportunities Program (UROP) hosted the 16th annual Spring Undergraduate Research Symposium. UROP’s annual symposium is Georgia Tech’s largest undergraduate research colloquium and allows students to present their research and gain valuable skills and presentation experience. Each year the symposium also presents awards to the top poster and oral presentation from each college and honors the Outstanding Undergraduate Researcher (OUR) from each college. And with over 40 oral presentations and nearly 90 poster presentations, this year’s symposium proved to be another success for UROP and Georgia Tech.  

This year the symposium was held in Exhibition Hall and opened with an introduction and keynote address to students, faculty, and other non-presenters. Shortly after, the event moved into the poster presentations segment where undergraduate students displayed their research to judges, faculty, and other attendees. The oral presentations followed soon after and gave student researchers the opportunity to go more in-depth with their research and findings and answer any questions the judges and attendees had. To end the event, sponsoring colleges and departments recognized Outstanding Undergraduate Researchers from their respective colleges. Additionally, the symposium judges were tasked with selecting the top student researchers having exceptional poster and oral presentations. 

Any Georgia Tech undergraduate student interested in presenting their research is encouraged to apply for future symposiums and to build on research presentation skills, connect with other undergraduate researchers and faculty, and the chance to be recognized with awards by members of the Georgia Tech research community. UROP also hosts other research-related events and workshops throughout the school year to assist undergraduate students interested in research and build on their passions! 

To view the list of awardees and pictures from the event visit: https://symposium.urop.gatech.edu/awards/ 

To learn more about undergraduate research at Georgia Tech visit: https://urop.gatech.edu/