Generative AI tools have taken the world by storm. ChatGPT reached 100 million monthly users faster than any internet application in history. The potential benefits of efficiency and productivity gains for knowledge-intensive firms are clear, and companies in industries such as professional services, health care, and finance are investing billions in adopting the technologies.

But the benefits for individual knowledge workers can be less clear. When technology can do many tasks that only humans could do in the past, what does it mean for knowledge workers? Generative AI can and will automate some of the tasks of knowledge workers, but that doesn’t necessarily mean it will replace all of them. Generative AI can also help knowledge workers find more time to do meaningful work, and improve performance and productivity. The difference is in how you use the tools.

In this article, we aim to explain how to do that well. First, to help employees and managers understand ways that generative AI can support knowledge work. And second, to identify steps that managers can take to help employees realize the potential benefits.

What Is Knowledge Work?  

Knowledge work primarily involves cognitive processing of information to generate value-added outputs. It differs from manual labor in the materials used and the types of conversion processes involved. Knowledge work is typically dependent on advanced training and specialization in specific domains, gained over time through learning and experience. It includes both structured and unstructured tasks. Structured tasks are those with well-defined and well-understood inputs and outputs, as well as prespecified steps for converting inputs to outputs. Examples include payroll processing or scheduling meetings. Unstructured tasks are those where inputs, conversion procedures, or outputs are mostly ill-defined, underspecified, or unknown a priori. Examples include resolving interpersonal conflict, designing a product, or negotiating a salary.

Very few jobs are purely one or the other. Jobs consist of many tasks, some of which are structured and others which are unstructured. Some tasks are necessary but repetitive. Some are more creative or interesting. Some can be done alone, while others require working with other people. Some are common to everything the worker does, while others happen only for exceptions. As a knowledge worker, your job, then, is to manage this complex set of tasks to achieve their goals.

Computers have traditionally been good at performing structured tasks, but there are many tasks that only humans can do. Generative AI is changing the game, moving the boundaries of what computers can do and shrinking the sphere of tasks that remain as purely human activity. While it can be worrisome to think about generative AI encroaching on knowledge work, we believe that the benefits can far outweigh the costs for most knowledge workers. But realizing the benefits requires taking action now to learn how to leverage generative AI in support of knowledge work.

Continue reading: How Generative AI Will Transfer Knowledge Work

Reprinted from the Harvard Business Review, November 7, 2023.

• Maryam Alavi is the Elizabeth D. & Thomas M. Holder Chair & Professor of IT Management, Scheller College of Business, Georgia Institute of Technology.
• George Westerman is a Senior Lecturer at MIT Sloan School of Management and founder of the Global Opportunity Forum in MIT’s Office of Open Learning.

The School of Physics’ new initiative to catalyze research using artificial intelligence (AI) and machine learning (ML) began October 16 with a conference at the Global Learning Center titled Revolutionizing Physics — Exploring Connections Between Physics and Machine Learning.

AI and ML have the spotlight right now in science, and the conference promises to be the first of many, says Feryal Özel, Professor and Chair of the School of Physics. 

"We were delighted to host the AI/ML in Physics conference and see the exciting rapid developments in this field,” Özel says. “The conference was a prominent launching point for the new AI/ML initiative we are starting in the School of Physics."​ 

That initiative includes hiring two tenure-track faculty members, who will benefit from substantial expertise and resources in artificial intelligence and machine learning that already exist in the Colleges of Sciences, Engineering, and Computing.

The conference attendees heard from colleagues about how the technologies were helping with research involving exoplanet searches, plasma physics experiments, and culling through terabytes of data. They also learned that a rough search of keyword titles by Andreas Berlind, director of the National Science Foundation’s Division of Astronomical Sciences, showed that about a fifth of all current NSF grant proposals include components around artificial intelligence and machine learning.

“That’s a lot,” Berlind told the audience. “It’s doubled in the last four years. It’s rapidly increasing.”

Berlind was one of three program officers from the NSF and NASA invited to the conference to give presentations on the funding landscape for AI/ML research in the physical sciences. 

“It’s tool development, the oldest story in human history,” said Germano Iannacchione, director of the NSF’s Division of Materials Research, who added that AI/ML tools “help us navigate very complex spaces — to augment and enhance our reasoning capabilities, and our pattern recognition capabilities.”

That sentiment was echoed by Dimitrios Psaltis, School of Physics professor and a co-organizer of the conference. 

“They usually say if you have a hammer, you see everything as a nail,” Psaltis said. “Just because we have a tool doesn't mean we're going to solve all the problems. So we're in the exploratory phase because we don't know yet which problems in physics machine learning will help us solve. Clearly it will help us solve some problems, because it's a brand new tool, and there are other instances when it will make zero contribution. And until we find out what those problems are, we're going to just explore everything.”

That means trying to find out if there is a place for the technologies in classical and modern physics, quantum mechanics, thermodynamics, optics, geophysics, cosmology, particle physics, and astrophysics, to name just a few branches of study.

Sanaz Vahidinia of NASA’s Astronomy and Astrophysics Research Grants told the attendees that her division was an early and enthusiastic adopter of AI and machine learning. She listed examples of the technologies assisting with gamma-ray astronomy and analyzing data from the Hubble and Kepler space telescopes. “AI and deep learning were very good at identifying patterns in Kepler data,” Vahidinia said. 

Some of the physicist presentations at the conference showed pattern recognition capabilities and other features for AI and ML: 

• Cassandra Hall, assistant professor of Computational Astrophysics at the University of Georgia, illustrated how machine learning helped in the search for hidden forming exoplanets. 
• Christopher J. Rozell, Julian T. Hightower Chair and Professor in the School of Electrical and Computer Engineering, spoke of his experiments using “explainable AI” (AI that conveys in human terms how it reaches its decisions) to track depression recovery with deep brain stimulation.
• Paulo Alves, assistant professor of physics at UCLA College of Physical Sciences Space Institute, presented on AI/ML as tools of scientific discovery in plasma physics.

Alves’s presentation inspired another physicist attending the conference, Psaltis said. “One of our local colleagues, who's doing magnetic materials research, said, ‘Hey, I can apply the exact same thing in my field,’ which he had never thought about before. So we not only have cross-fertilization (of ideas) at the conference, but we’re also learning what works and what doesn't.”

More information on funding and grants at the National Science Foundation can be found here. Information on NASA grants is found here. 

Sean Castillo is in the win-win business. As an industrial hygienist in the Georgia Tech Enterprise Innovation Institute (EI2), his job is to ensure that employees are safe in their workspaces, and when he does that, he simultaneously improves a company’s performance.

That’s been a theme for Castillo and his colleagues in the Safety, Health, Environmental Services (SHES) program and their partners in the Georgia Manufacturing Extension Partnership (GaMEP), part of EI2’s suite of programs aimed at helping Georgia businesses thrive.

“A healthier workforce is healthy for business,” said Castillo, part of the SHES team of consultants who often work closely with their GaMEP counterparts to improve safety while also maximizing productivity.

This team of experts from EI2 assist companies trying to reach that critical intersection of both, combining smart ergonomics and safety enhancements with lean manufacturing practices. This can solve human performance gaps due to fatigue, heat, or some other environmental stressor, while helping businesses continue to improve their production processes and, ultimately, their bottom line.

These stressors cost U.S. industry billions of dollars each year — fatigue, for example, is responsible for about $136 billion in lost productivity.

“Protecting your employee — investing in safety now — saves a lot of money later,” Castillo said. “It equates to less money spent on workers compensation and less employee turnover, which means less time training new employees, and that ideally leads to a more efficient process in the workplace.”

It takes careful and intentional collaboration to bring those moving pieces together, and inextricably linked programs like SHES and GaMEP can help orchestrate all of that.

Ensuring Safe Workspaces

SHES is staffed by safety consultants, like Castillo, who provide a free and essential service to Georgia businesses. They help companies ensure that they meet or exceed the standards set by the federal Occupational Health and Safety Administration (OSHA), mainly through SHES’ flagship OSHA 21(d) Consultation Program.

“Our job is to ensure that workspaces and processes are designed so that anybody can perform the work safely,” said Trey Sawyers, a safety, health, and ergonomics consultant on the SHES team, aiding small and mid-sized businesses in Georgia. When a company reaches out to SHES to apply for the free, confidential OSHA consultation program, a consultant like Sawyers gets assigned to the task, “based on our area of expertise,” said Sawyers, an expert in ergonomics, which is the science of designing and adapting a workspace to efficiently suit the physical and mental needs and limitations of workers.

“If a company is having ergonomic issues — maybe they’re experiencing a lot of strains and sprains — then I might get the call because of my knowledge and understanding of anthropometry, and then I’ll go take a close look at the facility,” Sawyers said. Anthropometry is the scientific study of a human’s size, form, and functional capacity.

SHES consultants can identify potential workplace hazards, provide guidance on how to comply with OSHA standards, and establish or improve safety and health programs in the company.

“The caveat is the company has to correct any serious hazards that we find,” said Castillo, who visits a wide range of workspaces in his role. For instance, his job will take him to construction and manufacturing sites, gun ranges, even office settings. “We do noise and air monitoring at all different types of workplaces. I was at a primary care clinic the other day. And over the past few years, we’ve had a significant emphasis on stone fabricators, looking for overexposures to respirable crystalline silica.”

Silica, which is dust residue from the process of creating marble and quartz slabs, can lead to a lung disease called silicosis. OSHA established new limits that cut the permissible exposure limits in half, and that has kept the SHES consultants busy as Georgia manufacturers try to achieve and maintain compliance.

Keeping Companies Cool

Another area of growing emphasis for Georgia Tech’s consultants is heat-related stress in the workplace.

“Currently, there are no standards to address this,” Castillo said. “For example, there are no rules that say a construction site worker should drink this much water. There are suggested guidelines and emphasis programs for inspections for targeted industries where heat stress may be prevalent — but no standards, though that is coming.”

The SHES team is trying to stay ahead of what will likely be new federal rules for heat mitigation. To help develop safe standards and better understand the effects of heat on workers, consultants like Castillo are going to construction sites, plant nurseries, and warehouses, and enlisting volunteers in field studies. Using heat stress monitor armbands, they’re monitoring data on workers’ core body temperatures and heart rates.

“These tools are great because we’re not only gathering some good data, but we can use them proactively to prevent heat events such as heat exhaustion and heatstroke, which can be fatal if left untreated,” Castillo said.

To further help educate Georgia companies about the risks of heat-related problems, SHES applied for and recently won a Susan Harwood Training Grant from the U.S. Department of Labor. The $160,000 award will support SHES consultants’ efforts to further their work in heat stress education so that “companies and workers will understand the warning signs and the potential effects of heat stress, and how they can stay safe,” Castillo said. “We’re sure this will all become part of OSHA standards eventually, and we’d like to help our clients stay ahead of the curve to protect their employees.”

OSHA standards are the law, and while larger corporations routinely hire consulting firms to keep them on the straight and narrow, SHES is providing the same level of expertise for its smaller business clients for free. Most of those clients apply for help through SHES’ online request form. And others find the help they need through the guidance of process improvement specialist Katie Hines and her colleagues in GaMEP.

Lean and Safe

Hines came to her appreciation of ergonomics naturally. After graduating from Auburn University, she entered the workforce as a manufacturing engineer for a building materials company, where “it was just part of our day-to-day work life in that manufacturing environment, on the production floor,” she said.

It took grad school and a deeper focus on lean and continuous improvement processes to formalize that appreciation.

While working toward her master’s degree in chemical engineering at Auburn, Hines earned a certificate in occupational safety and ergonomics (like Sawyers, her SHES colleague). At the same time, Hines was helping to guide her company’s lean and continuous improvement program. And when she joined Proctor and Gamble after completing her degree, “The lean concept and safety best practices were fully ingrained, part of the daily discussion there,” she said.

All those hands-on manufacturing production floor experiences managing people and systems prepared Hines well for her current role as a project manager on GaMEP’s Operational Excellence team, where her focus is entirely on lean and continuous improvement work — that is, helping companies reduce waste and improve production while also enhancing safety and ergonomics.

Hines uses her expertise in knowing how manufacturing processes and people should look when everyone is safe and also productive. She can walk into a GaMEP client’s facility and drive the process improvements and solutions that will help them achieve a leaner, more efficient form of production. And then, when she sees the need, Hines will recommend the client contact SHES, “the people who have their fingers on the data and the expertise to improve safety.”

These were concepts that, for a long time, seemed to be working against each other — the very idea of maximizing production and improving profits while also emphasizing worker safety and comfort.

“But you can have both,” Castillo said. “You should have both.”

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.

“A stitch in time saves nine,” goes the old saying. For a company in Georgia, that adage became very real when damage to a key piece of machinery threatened its operation. The group helping with the stitch in time was the Georgia Manufacturing Extension Partnership (GaMEP), a program of Georgia Tech's Enterprise Innovation Institute that — for more than 60 years — has been helping small- to medium-sized manufacturers in Georgia stay competitive and grow, boosting economic development across the state.

Silon US, a Peachtree City manufacturer that designs and produces engineered compounds used to create a wide range of products — from automotive applications to building materials, such as PEX piping and wire and cable, was experiencing problems with their extrusion line during a time of increasing customer demand. Problems with the drive mechanism on that extrusion line, a piece of equipment critical to the company’s ability to produce, threatened to shut them down. With replacement parts several weeks away, was it safe to continue operating? At what throughput rates? How much collateral damage might be incurred if they continued to operate?

That’s when Silon managers turned to GaMEP for help.

After working through ideas with GaMEP’s manufacturing experts, the team installed wireless condition monitoring sensors that provide continuous, real-time insights on their manufacturing assets’ health. With the sensors, Silon was able to find a sweet spot that not only allowed them to continue operating but also kept them from overexerting the equipment, preventing further damage.

The solution to that problem has now become a routine part of Silon’s process, as company technicians continue to use this sensor technology for early detection of any deviations or anomalies in the machinery’s health, allowing the company’s maintenance team to proactively respond by adjusting scheduled maintenance to avoid costly downtime.

GaMEP’s Sean Madhavaraman says, “Silon is more productive than ever and on track for growth. The strong results in this challenge are a great example of the decades-long focus of GaMEP to educate and train managers and employees in best practices, to develop and implement the latest technology, and to work together with businesses to find solutions.”

Daniel Raubenheimer and Matt Gammon, Silon’s general managers, also lauded GaMEP, saying, “GaMEP’s extensive experience within the manufacturing realm has been a great benefit to our company. The wireless condition monitoring sensors allow us to predict future breakdowns and mitigate a potential catastrophe — allowing us to operate in a safe manner, while saving money, time, and effort.”

CREATE-X’s Startup Launch will introduce its 10th cohort of talented startup founders on Demo Day, Aug. 31, 5 – 7p.m., in the Exhibition Hall. Last year, the event drew more than 1,500 people, including business and community leaders, to view new products from a wide range of industries. All of the startups are developed through the creative work of Georgia Tech’s faculty, alumni, and students. With these products, CREATE-X founders aim to address global problems head-on with the latest technology and ingenuity.

At the event, attendees will be able to explore the products of over 100 newly minted startups, from consumer apps to deep tech, and engage with more than 250 founders about their entrepreneurial journeys. In 2021, CREATE-X startups were at the frontier of the current AI revolution, integrating OpenAI's GPT-3 well ahead of mainstream adoption.

CREATE-X began in 2014 as a Georgia Tech initiative to instill entrepreneurial confidence in students launching real startups. Their signature program is the 12-week Startup Launch accelerator, in which students and alumni intern for their own companies. Participants attend sessions, team socials, and pitch practices and receive coaching and mentorship from experienced entrepreneurs and notable Tech alumni. Demo Day is the finale of the program, a vibrant exhibition that is free and open to the public.

The inaugural cohort had eight teams. Several companies among the first six cohorts are valued above $100 million, and one company is valued at $1.3 billion. The program has worked with nearly 450 startup teams, with a total portfolio valuation of over $1.9 billion, and has produced more than 1,100 founders launching startups. In the future, CREATE-X Director Rahul Saxena said the program hopes to produce 300 startups a year.

“CREATE-X has a rich entrepreneurial ecosystem that will support students as they launch real startups. In every cohort, I remind participants that the connections they make in the program will carry after, and that they’re surrounded by talent,” Saxena said. “We want every Georgia Tech student to have this advantage when starting their business.”

He noted, “From consumer apps revolutionizing everyday life to sustainable fashion brands paving the way toward responsible consumption — there's something here for everyone. CREATE-X founders are a testament to tomorrow’s possibilities, and we invite you to see it for yourself.”

Registration is open now for Demo Day 2023. For more information, visit the CREATE-X website.

This feature supports Georgia Tech's presence at the International Conference on Machine Learning, July 23-29 in Honolulu. 

Honolulu Highlights | ICML 2023
Students and faculty have been focused and energized in their efforts this week engaging with the international machine learning community at ICML. See some of those efforts, hear from students themselves in our video series, and read about their latest contributions in #AI.

Georgia Tech’s experts and larger research community are invested in a future where artificial intelligence (AI) solutions can benefit individuals and communities across our planet. Meet the machine learning maestros among Georgia Tech’s faculty at the International Conference on Machine Learning — July 23-29, 2023, in Honolulu — and learn about their work. The faculty in the main program are working with partners across many domains and industries to help invent powerful new ways for technology to benefit all our futures.

One of the experts in Honolulu is Wenjing Liao, an assistant professor in the School of Mathematics. In addition to machine learning, Liao's research interests include imaging, signal processing, and high dimensional data analysis.

Learn more about the Georgia Tech contingent at the ICML here. Read more about machine learning research at Georgia Tech here.

Georgia Institute of Technology’s Center for Education Integrating Science, Mathematics, and Computing (CEISMC) is at the center of a new statewide initiative combining artificial intelligence and manufacturing innovations with transformational workforce development and K-12 outreach. The Georgia Artificial Intelligence Manufacturing Corridor project (Georgia AIM) is supported by a record-shattering $65 million grant Georgia Tech received in September 2022 from the U.S. Department of Commerce’s Economic Development Administration.

Georgia AIM will support a total of nine inter-related projects throughout the state and is designed to increase job and wage opportunities in distressed and rural communities and among historically underrepresented and underserved people. Georgia AIM targets rural residents, women, Black, Indigenous and People of Color (BIPOC), those living with disabilities, and veterans — groups historically underrepresented in manufacturing. Through innovation, collaboration, education, and participation, Georgia AIM will provide the tools and knowledge to empower these communities to participate fully in a diverse AI manufacturing workforce.

“Many people have preconceived notions about manufacturing and may not be able to see how they could possibly connect to it," said Roxanne Moore, Woodruff School of Mechanical Engineering’s senior research engineer and director of CEISMC’s K-12 InVenture Prize program. “What they may not realize is that manufacturing is what brings new ideas to life. AI is rapidly reshaping the manufacturing industry and changing the landscape for job opportunities. The work that we are doing will position Georgia to lead the nation into the future of AI and manufacturing.”

Moore explains that through Georgia AIM, CEISMC will expand its K-12 InVenture Prize invention and entrepreneurship program to collaborate with school districts and businesses in Southwest Georgia, Southeast Georgia and Northeast Georgia. The initiative will expand on existing partnerships Georgia Tech has established with technical colleges and minority-serving institutions.

The project will reach at least 1,000 K-12 students and 100 teachers from underserved areas, with a focus on rural communities via existing programs at Georgia Tech, other nonprofits, the Technical College System of Georgia, the Southwest Georgia Regional Commission, local manufacturers, and K-12 school leaders, Moore said.

“We need to illustrate the powerful relationships between innovation, entrepreneurship, and manufacturing so that students can see how ideas come to life and how they can improve their communities,” said Moore. “It is my hope that these regional ecosystems become a role model for how educational institutions can support each other in expanding access to high-quality STEM experiences for diverse students who typically are not empowered to create their futures.”

As part of Georgia AIM, CEISMC will also expand its offerings through partnerships with the institute’s GoSTEM program to better serve Latino populations. GoSTEM is a collaborative partnership at Georgia Tech between CEISMC and Institute Diversity, Equity and Inclusion (IDEI). Its mission is to promote STEM academic achievement and college attendance among Latino and other cultural and linguistic minority K-12 students. Plans include translating existing invention and entrepreneurship curriculum into Spanish, adding lessons to the curriculum on AI and manufacturing, assisting with the development of regionally focused curricula, and expanding training and events to make them more inclusive.

“Our goal is to make invention education accessible to everyone in the state, especially those who may have been previously left out of the conversation,” said Danyelle Larkin, educational outreach manager with CEISMC. “By going into more rural areas of the state and working to develop multi-lingual curricula that is focused on the needs of the region, we hope to serve as a national model for how to accelerate the transition to automation in manufacturing while diversifying the next generation of AI leadership.

Additional Georgia AIM expansion plans for CEISMC and K-12 InVenture Prize include supporting an existing high school entrepreneurship program in Fitzgerald and working with Albany State University to host teacher workshops, support local schools, and host regional competitions with a focus on inventiveness and the entrepreneurial mindset.

"The overall goal of Georgia AIM is to establish the United States as a leader in AI manufacturing while making sure that these systems complement rather than replace existing workers,” Larkin said. “The work that we are doing in CEISMC plays an integral role in Georgia AIM with our specific expertise in weaving invention education and entrepreneurship into K-12 classrooms and connecting with diverse communities. This huge grant gives us a chance to amplify our work and bring even more people into the AI conversation. It’s about building a better, more equitable future for the people of Georgia.”

—Randy Trammell, CEISMC Communications

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. 

Artificial intelligence is already making headlines in the new year with the box office success of the movie M3GAN. Along with a TikTok dance craze and lots of laughs, the over-the-top horror movie/dark comedy about an AI-powered robot that runs amok is also inspiring discussion about the growing presence and impact of artificial intelligence in everyday life.

From the movie house to the warehouse to your house, AI seems like it's everywhere. That's because with a steady stream of new research and innovative applications reaching into nearly every industry and business sector, it is everywhere. Nevertheless, AI still holds enormous potential as the field continues to evolve.

To get a sense of what this evolution could look like in 2023, we turned to a small group of Ph.D. students from the College of Computing community that are currently pushing foundational and applied AI research forward in a broad spectrum of disciplines and fields.

The students shared their opinions on where AI might be headed in the new year, what some of the big tech stories could be, and why ethics in AI are so critically important.

Where will artificial intelligence and machine learning have the most impact in 2023?

"Artificial intelligence and machine learning will continue to have a huge impact on manufacturing and warehouses with labor shortages and worker turnover continuing to be a concern as more manufacturing and operations jobs are brought back to the United States from overseas. Additionally, AI/ML will continue to help ensure that manufacturing and warehouse facilities are operating as efficiently as possible from energy and material savings to worker safety and parts quality." – Zoe Klesmith Alexander, computational science and engineering Ph.D. student

"Right now, deep learning is on a trajectory to transform the creation space. Artwork and images, videos, data representation and storytelling, co-authoring, and summarizing documents... It's gotten really good." – Ben Hoover, machine learning Ph.D. student

"I think machine learning and AI will keep playing a huge role in how the world and society will be shaped over the next decade in many ways. It will make many other fields more efficient through ML and AI tools we are developing. In 2023, I think ML and AI will have the most impact on social media platforms, helping reduce hate speech, rumor spread, etc." – Agam A. Shah, machine learning Ph.D. student

"One of the big impacts this year may be driverless cars being in your neighborhood. Otherwise, it will be a slow steady drip of GPT3 and other OpenAI models suffusing all applications, making programmers much faster, making journalists faster, making academic articles and lit reviews much faster. We're at a 4th grader level, and I hope by the end of this year we'll be at the 6th grader level. Also, indoor turn-by-turn navigation will be everywhere in 2023 as well." – Brandon Biggs, human-centered computing Ph.D. student

What will be some of the big tech stories in 2023?

"ChatGPT and the GitHub Copilot lawsuit will keep making it into the news and cause more controversies. In general, AI ethics will become more important and get more focus as the technology keeps advancing." – Fabian Fleischer, cybersecurity, and privacy Ph.D. student

"Driverless car fleets will be coming to a city near you. A new battery technology will allow phones to keep their charge for a week. Meta realizes virtual reality (VR) head-mounted displays are for a limited market and uses headphones and phones to provide VR experiences." – Brandon Biggs

What’s an issue or industry that you think could benefit from a computing solution?

"Our reinterpretation of modern deep learning as energy-based associative memories has the potential to transform any industry that relies on foundation models -- giant architectures that require models that are "self-supervised" (learn on their own from data)." – Ben Hoover

"Inclusion in everything. Over 90 percent of websites on the internet have elements that are inaccessible to 25 percent of the world's population who have disabilities. Inclusive design will be the most important area where technology can be redesigned and created to have multiple sensory modalities and be properly programmed." – Brandon Biggs

"Currently, financial markets are far from efficient because they do not fully incorporate information available in large unstructured text data. With the latest development in natural language processing techniques, we can better understand the economy and therefore price financial markets better." – Agam A. Shah

There’s been increasing recognition of the vital role ethics should play in artificial intelligence. How do you see this issue evolving in the next year?

"Specifically in my research, I think explainable AI (XAI) is very important, especially if non-experts in ML will be using black-box ML solutions in a factory. It will be important for humans to trust and to understand the models especially if the models are being using to monitor quality on a safety-critical part.

"Additionally, using XAI for human interaction with robots that utilize deep learning to make decisions will be increasingly important as technologies like collaborative robots (cobots) are integrated into factories. I think in my area of research that it is always important to use automation to aid humans in jobs that are safe for humans to do and not to replace them." – Zoe Klesmith Alexander

"Big data is pretty much at its peak. Deep data, where your Alexa knows everything about you, or your phone knows everything about you, and rather than saying 'other people who watched this show liked this show,' it's going to say, 'I know you liked these shows, I think you'll like this show because of these reasons, one of which is because other people who liked all these other shows liked this show.' The ethical element will be how much of this data should these models use, and are people going to build a personal dataset that they can share with other apps, or is each app going to need to build their own dataset? The ethical question is who owns this data." – Brandon Biggs

"I think ethics will become more and more important going forward. We are making huge breakthroughs in machine learning and artificial intelligence, but the systems we are creating are producing racist, sexist, and stereotypical results. For example, a recent system, Galactica, developed by Facebook (Meta) is powerful. It can produce research articles by just simply providing it with the title. It comes with some serious ethical concerns, in some cases, it produces racist, sexist text. So, as we will keep developing better models and making success in parallel, we need to always keep in mind the ethical implications of these models." – Agam A. Shah

What research are you working on that you think people should know about or will have impact in 2023?

"Part of my research focuses on data-driven modeling of additive manufacturing processes to better control dimensional quality of the final part. Another part of my research focuses on detecting anomalies in real-time using computer vision and machine learning for both warehouses and manufacturing processes." – Zoe Klesmith Alexander

"Right now, deep learning is built on feed-forward mathematical operations that have little resemblance to the brain. I am working on a physics inspired approach to deep learning built around recurrent networks and energy functions. These architectures have the same mathematical foundation as the famous, biologically plausible Hopfield Network." – Ben Hoover

"I am currently working on two projects which, in my opinion, will have an impact in 2023. In one project, we are measuring the exposure of public firms to ongoing inflation. We are also understanding how inflation affects different firms differently based on the pricing power of the firm. As inflation is the highest in the last 40 years, our study is highly relevant now and in the coming years till we get inflation back in control.

"The second work is related to the first work in some ways. As inflation is rising, to control the inflation Federal Reserve Bank is tightening its monetary policy. In our second work, we are measuring the stance of monetary policy (measuring hawkish vs dovish stance) of the Fed using state-of-the-art NLP models to see its impact in various financial markets (Treasury market, Stock market, Crypto market, etc.)" – Agam A. Shah