PROBLEM STATEMENTS:

(a) With the increasing explosion of data centers being erected all over the State of Tennessee, I will be a governor who sets up strict regulations to prevent land monopolies, especially on farmland.

(b) To combat artificial intelligence (AI) aggression, promote and design a progressive Tennessee (AI) Tech Training Program to ensure that Tennesseans capitalize on these data centers to secure better-paying jobs, small business integration, and professional development designed for this artificial intelligence industry.

(c) Using the four-tier community protection approach, as the next Governor of the State of Tennessee, I will use this methodology to address the stabilization of AI data centers and the educational aspect of artificial intelligence to benefit Tennesseans by creating innovative programs. A four-tier community protection approach plan will focus on economy, environment, education, and experience.

(d) There should be no agreement, no partnership, and no lobbyists' connection with any erected data center in the State of Tennessee regarding the Governor or legislative body.

(e) The number one problem is data centers coming into spaces where no input from the community was solicited by using loopholes in the zoning codes and tax incentives, with the blessings of politicians focusing on greed and money, while Tennesseans are concerned about their environment, water usage, utility bill increases, and health and well-being.

(f) The primary physical problems with data centers involve massive, localized consumption of natural resources, specifically water for cooling and electricity for operation, alongside significant noise and air pollution. They require intense, 24/7 cooling, which risks straining local water supplies, and their backup generators produce hazardous air emissions and can pose health risks.

(g) The State of Tennessee has been infiltrated with too many data centers, which will cause direct effects on Tennesseans as it relates to the economic sustainability, health, and welfare of unsuspecting individuals and families. Data centers are popping up across the region at a rapid pace, and at the same time, electricity use is surging, along with concerns for rising electricity costs.

(h) Starting with the Governor of the State of Tennessee, the political leaders of Tennessee have a moral and ethical obligation to protect every citizen by any means necessary. We cannot repeat the historical calamity that happened in the late 50s and 60s to underserved and marginalized communities exposed to toxins through major manufacturing companies that left brownfields all over Tennessee. Rural communities and farmers were exposed to harmful chemicals that were willingly sold to unsuspecting farmers, ranchers, and forest owners.

(i) Money should never be the driving factor in Tennessee when it comes to the livelihood and health of Tennesseans. Billionaires should not be the conductor of Tennessee's quality of life, and every politician has taken the Oath of Office to protect and serve Tennesseans.

(j) We must be proactive regarding these data centers; therefore, protocols and legislative measures should have been addressed regarding the pros and cons of data centers before the State of Tennessee entertained such a notion. Therefore, putting forth legislative bills after-the-fact is asinine and reactive. The bill HB1847/SB2128 will allegedly help protect people from subsidizing data centers through their monthly electricity bills. The legislation allows data center owners to source their own power, instead of buying power from a utility.  The problem will be giving the data center operators the ability to expose underserved and marginalized neighborhoods to pollutants. This legislation could lead to more pollution near data centers.

(k) Data centers are proliferating across the United States and across the legislative and regulatory agendas of state and local governments. In 2025, there were more than 200 bills introduced across all 50 states aimed at regulating in-state data centers, which are the backbone of the ongoing artificial intelligence (AI) boom, and more than 40 of those bills were enacted into law. This legislation spans the policy gamut, addressing energy procurement and pricing, water usage, environmental considerations, siting issues, labor standards, national security concerns, and more. We expect these efforts to continue to escalate in 2026, driven in part by the current absence of federal regulatory oversight.

(l) The proposed legislation defines a data center as a building that requires at least 50 megawatts of power and primarily houses equipment to process, store, or transmit digital information. Currently, most data centers in the region get electricity from a utility. 

If the bill passes, data center companies could also produce their own “behind-the-meter” power or buy electricity from an “independent power producer” without needing approval from a state regulator. 

(j) Independent power producers are sometimes referred to as “merchant power plants.” These companies would not face regulatory oversight from the Tennessee Public Utility Commission, which has previously handled cases for such plants. The bill intends to deregulate.

Data centers house computing machines for storing, sharing, and managing vast amounts of digital data. These facilities can also play a role in safeguarding data from cyber threats or helping with data redundancy or backups during hardware failures or weather disasters.

TENNESSEE DATA CENTERS BOOM - NO REGULATIONS OR COMMUNITY BENEFIT AGREEMENTS

Tennessee has 60 data centers, and more than a third of them are located in the greater Nashville area. 

Nashville has 13 facilities operational or under construction within metro limits. Many of these data centers, which are physical buildings that manage massive amounts of digital data, are located in or near downtown and the Cumberland River.

Franklin, Brentwood, Berry Hill and Murfreesboro also collectively hold a handful, and Gallatin, a town just 30 miles northeast of Nashville, has seven data centers, primarily run by Meta, the owner of Facebook and Instagram. 

The area may soon be considered a hub for data centers, which could lead to potential conflicts with neighbors over air quality, water use and electricity costs. 

Meta Platforms, which owns Instagram and Facebook, has set up data centers across about 900 acres in Gallatin, Tennessee.

Franklin, Brentwood, Berry Hill, and Murfreesboro also collectively hold a handful, and Gallatin, a town just 30 miles northeast of Nashville, has seven data centers, primarily run by Meta, the owner of Facebook and Instagram. 

The area may soon even be considered a hub for data centers, which could lead to potential conflicts with neighbors over air quality, water use, and electricity costs. The Nashville area had 27 data centers in November 2025, according to Data Center Map.

Nashville is adding new data centers

Nashville is considered an "emerging market" for data centers, according to the latest analysis by global real estate firm Cushman and Wakefield. Austin is also considered a new market, while places like Phoenix, Dallas, and Atlanta ranked among the top “established” markets. 

Power availability remains a top factor for data center developers, according to the firm, though some companies will build substations or use backup generators if unable to connect to the grid quickly. 

While Nashville has not historically been considered a tech hub, that could soon change: The software giant Oracle is building its world headquarters on the East Bank of the Cumberland River. The company may soon begin construction on a potentially $2 billion, 75-acre development. Metro Council gave Oracle final approval for the project, four years after the company announced its plans for Nashville. 

Data centers in the area could support some of the company’s operations. 

One of the newest facilities will be located in the Trinity Hills neighborhood of East Nashville. Radius DC is building a 100,000-square-foot facility on 12 acres of land to “meet the growing demand of urban data center inventory,” the company said in a press release. The facility will require 18 megawatts of energy capacity and operate on a closed-loop cooling system that uses no water, according to Keith Klesner, the company’s vice president of development.

In Memphis, Elon Musk’s data center xAI runs Grok, the artificial intelligence for X. 

The company has largely been running on behind-the-meter generation. Its first facility, known as Colossus 1, initially lacked permits when it plugged in about 30 mini gas turbines, which collectively could power more than 200,000 homes. xAI is now using about 15 turbines at that site. The company got approval to source about 300 megawatts of power from the Tennessee Valley Authority, the federal utility that serves 10 million people in the region. 

Consequently, xAI was approved to add more behind-the-meter power, with another 40 gas turbines across the state line in Mississippi for its second Memphis facility. Research published shows that the facility could significantly increase air pollution in North Mississippi and West Tennessee. Burning methane for energy releases toxic air pollutants, including nitrogen oxides and volatile organic compounds nitrogen oxides and volatile organic compounds like benzene and formaldehyde.

Musk is planning to build a third facility. Once operational, the data centers could collectively require 2 gigawatts of electricity, enough to power 1 million homes, based on calculations used by TVA. The legislation gives xAI more options to power its facilities from offsite generation. 

It also points to an emerging niche market of small, mobile gas turbines, as a push for new gas generation in the U.S. has contributed to a global shortage of gas-fired equipment.

Solaris, for example, is a Houston-based company that builds mini gas-powered turbines “for the world’s most demanding data center environments,” according to the company. Solaris builds behind-the-meter generators with a range of about 6MW to 35MW of power. 

Data centers increase overall energy demand 

Tennessee has 60 data centers, and more than a third of them are located in the greater Nashville area. 

Companies are also constructing data centers around the borders of the state, which is relevant to local electricity rates: TVA provides nearly all power for Tennessee and parts of six other states. Local power companies, to which people pay their monthly bills, purchase electricity from TVA.

“Currently, almost all data centers in Tennessee are served by local power companies,” TVA spokesperson Scott Brooks said in an email.

TVA’s total power load is roughly 60% industrial and 40% residential. Data centers alone comprised about 10% of TVA’s total power load in 2025, according to the utility’s February financial report. Power demand from data centers could double by 2030, according to CEO Don Moul. 

Environmental Protection Agency Controversy

Amid the boom in data center deployment, EPA is seeking to streamline air permitting requirements for developers using temporary power sources, such as combustion turbines or diesel generators, including a coming effort to reclassify some of these facilities as “mobile sources” and thus avoid tougher permit mandates for stationary sources. 

But if EPA were to allow truck-mounted turbines or engines to be deemed “mobile sources,” this would sidestep developers' air permitting problems. EPA alluded to this strategy in its revised January 2026 new source performance standards (NSPS) for combustion turbines of many types, which walked back Biden-era proposed tougher limits. There, the agency created a special, less-stringent nitrogen oxides (NOx) requirement for “temporary” power sources.

Atwater's Goal and Strategies:

• To protect all Tennesseans against the implementation of data centers in their communities, which is a violation of their constitutional right to life, liberty, and the pursuit of happiness.

• Provide a feasible solution to data centers' existence and progressive benefits to citizens to capitalize on the Artificial Intelligence (AI) boom.

• First, I would be a governor who regulates data centers, driven by concerns over energy grid capacity, water usage, and the cost of electricity for residents. Through executive orders, state agency directives, and working with legislatures, I, as the next Governor of the State of Tennessee, would implement regulations to ensure data centers do not overburden utility infrastructure. I would also ensure that our farmland is protected.

• To monitor the challenges of data centers for energy consumption, air pollution, water use, noise, and other issues.

• To put in place regulations to decrease the infringement of data systems on Tennesseans, especially in underserved and marginalized communities, farmland, and the Appalachian Mountains. I am adamant about preserving farmland in the State of Tennessee and not turning our precious natural resources into concrete jungles for profit.

Key Aspects of Atwater's Governor-Led Data Center Regulation

• Grid and Power Demands: As the next Governor, I would push for regulations requiring data centers to pay for their own power infrastructure improvements rather than passing costs to taxpayers.

• "Bring Your Own Power": Support regulations requiring data center developers to bring their own power generation sources or pay for their own grid upgrades.

• Permitting and Siting: May establish fast-track permitting processes in exchange for adherence to strict environmental and energy use regulations.

• Moratoriums: As the next Governor, I would consider or enact temporary moratoriums on new data centers to allow time to study their impact on local utilities and environmental resources.

• Environmental Concerns: As the next Governor, I would ensure regulations target water usage for cooling and enforce standards for local community benefits.

Atwater's Executive Action and State Regulation

Data System Community Protection of Water & Energy Consumption

• Immediately set up a moratorium on all new data centers.

• Comprehensive State Regulation of all new data centers.

• (Responsible Infrastructure Development): Set standards that aim for data center transparency, environmental protection, and ensuring community benefits, including hiring locally.

• Collaborate with Lawmakers on stricter oversight, with utility regulators requiring developers to cover the majority of new transmission costs starting in 2027.

• Proposed a temporary pause on tax incentives for new data centers to ensure they do not strain the electrical grid and raise consumer costs.

• As the next Governor of the State of Tennessee, I will examine ways to stop data center growth in certain areas, with Tennessee pushing to repeal previous tax incentives.

• Incorporate a Farm Preservation Restrictive Zone.

• Assess a special tax rate on all new data centers and detention centers erected in the State of Tennessee, such as 15% of their gross net, to be set aside for grocery sales tax replacement.

• Impose special taxes or repeal existing incentives on data centers as of 2027. Introduce or remove these incentives.

• Address targeted fees to require data centers to pay fees for utility infrastructure to support increased power and water demand.

• Modify laws to exclude new data centers from property tax exemptions.

• Introduce requirements for data centers to become carbon-neutral within two years to qualify for tax incentives if offered.

EDUCATIONAL BENEFITS:

Data centers do pose a unique framework for Tennesseans to obtain innovative skills and developments. This will be part of the four-tier community protection plan. Educational AI centers, including Tennessee AI in Education centers, academic research hubs, and specialized technology labs, are redefining learning by acting as central, research-driven hubs for integrating artificial intelligence into teaching, curriculum development, and student support. These centers focus on promoting AI literacy, fostering personalized learning, supporting teachers with new technologies, and setting ethical, privacy-focused standards for AI use in schools.

Key Educational Aspects of AI Centers

• Curriculum Development and AI Literacy: Centers are driving the creation of new curricula that prepare students for an AI-integrated world. This includes teaching AI basics, digital literacy, and ethics from K-12 through college.

• Personalized Learning Pathways: By utilizing adaptive learning platforms and intelligent tutoring systems, these centers help tailor educational content to individual student learning styles, paces, and needs.

• Professional Development for Educators: A primary focus is training teachers to use AI tools effectively, reducing their administrative burden while improving instruction.

• Research and Evidence-Based Practices: These centers conduct research to understand the pedagogical impact of AI, aiming to move beyond the hype and evaluate when and how AI improves student learning.

• Focus on Ethics, Bias, and Safety: A critical function is developing guidelines to mitigate bias and protect student data privacy.

• Bridging the Digital Divide: Research initiatives often focus on providing AI access to under-resourced or rural communities to prevent widening inequality gaps.

Key Challenges Addressed by AI Centers

• Preventing Over-dependence: Centers emphasize that AI should enhance, not replace, human teacher interactions, ensuring that student critical thinking skills are maintained.

• Ensuring Data Privacy: As AI tools enter classrooms, protecting student data, avoiding surveillance, and managing AI hallucinations are paramount.

• Addressing Inequity: There is a concern that wealthier districts will have better access to more accurate, advanced AI models, making the role of public-driven AI centers in bridging this gap crucial.

TENNESSEE ARTIFICIAL INTELLIGENCE (AI) DEFENSE EDUCATION PLAN

Children Empowerment Plan

To be progressive in Artificial Intelligence education, our children in the State of Tennessee must start the introduction of this subject matter in kindergarten to be ahead of the curveball of learning.

Health Advisory:

The risks of using generative artificial intelligence to educate children and teens currently overshadow the benefits, according to a new study by the Brookings Institution's Center for Universal Education.

The sweeping study includes focus groups and interviews with K-12 students, parents, educators and tech experts in 50 countries, as well as a literature review of hundreds of research articles. It found that using AI in education can "undermine children's foundational development" and that "the damages it has already caused are daunting," though "fixable."

ARTIFICIAL INTELLIGENCE IMPLEMENTATION & CONCERNS:

Studies have found that AI has the potential to benefit or hinder students, depending on how it is used. We all have the agency, the capacity, and the imperative to help AI enrich, not diminish, students’ learning and development.

• AI-enriched learning. Well-designed AI tools and platforms can offer students several learning benefits if deployed as part of an overall, pedagogically sound approach.

• AI-diminished learning. Overreliance on AI tools and platforms can put children and youth’s fundamental learning capacity at risk. These risks can impact students’ capacity to learn, their social and emotional well-being, their trusting relationships with teachers and peers, and their safety and privacy.

To this end, we offer three pillars for action: Prosper, Prepare, and Protect. Under each pillar, we present actionable recommendations for governments, technology companies, education system leaders, families, and all those who touch this issue. We urge all relevant actors to identify at least one recommendation to advance over the next three years.

In an era where artificial intelligence (AI) quietly shapes everything from homework assignments to entertainment recommendations, a new educational imperative has emerged: AI literacy.

AI literacy extends far beyond knowing how to use technology tools. Psychology shows adolescents need a comprehensive understanding of what AI is, how it functions, and how algorithmic bias can embed discrimination and misinformation into seemingly neutral systems.

Young people should feel empowered to question AI recommendations, seek multiple sources for important decisions, recognize when human judgment and expertise remain irreplaceable, and even transform AI systems to create a more just world.

Educators need to integrate AI understanding into core curricula spanning computer science, social studies, and ethics courses. This isn’t just about technical education; it’s about developing critical thinking skills that help students navigate an AI-saturated information environment.

Teachers themselves need substantial training on AI concepts, algorithmic bias recognition, and responsible AI use. They must be equipped to facilitate discussions about AI’s ethical implications, including how algorithmic bias can perpetuate discrimination, how AI-generated misinformation spreads, and how automated systems increasingly make decisions that affect students’ futures. Hands-on learning experiences with AI tools should emphasize critical evaluation rather than passive consumption.

Policymakers face equally important responsibilities, such as helping develop national and state-level guidelines for AI literacy education, allocating funding for research and teacher training programs, enacting legislation mandating age-appropriate AI education in schools, and promoting public awareness about AI’s risks and benefits.

Technology developers bear significant responsibility for creating transparency around their systems. Companies should provide accessible explanations of how their AI algorithms function and what data collection practices they employ, especially systems adolescents encounter.

This includes developing educational tools that help users understand AI operations and collaborating with educators to create age-appropriate artificial intelligence (AI) literacy curricula.

Equally important, bias detection and mitigation tools should be built directly into AI platforms, along with simple reporting mechanisms that empower users to flag problematic outputs.

The use of artificial intelligence (AI) is expanding rapidly, with increasing adoption among youth. AI offers new efficiencies and opportunities, yet its deeper integration into daily life requires careful consideration to ensure that AI tools are safe, especially for adolescents (generally considered to be between ages 10 and 25).

AI is embedded in many types of applications and programs, ranging from more subtle uses (e.g., predictive text, autocomplete, shopping recommendations) to a more substantial presence (e.g., chatbots, job application reviews, warning systems). We refer to “generative AI” as including applications that can generate humanlike text, create photorealistic images, produce lifelike audio, and create realistic videos, all of which can influence young people’s perceptions and behaviors. We refer to “interactive AI” as platforms or tools that facilitate human-AI interactions, such as real-time conversations, personalized learning experiences, relationships, and tailored content recommendations. Both interactive and generative AI have the potential to shape young people’s development, interactions, and understanding of the world. Furthermore, AI is increasingly being used to automate decision-making (e.g., school admissions, medical diagnosis, automated grading) that can have long-lasting consequences for youth.

Ensuring adolescents’ safety and well-being requires action from numerous stakeholders, including but not limited to parents, caregivers, educators, policymakers, technology industry professionals, adolescents, and platforms that develop and/or host AI tools.

TENNESSEE AI CLASSROOM LEARNING CURRICULA:

The goal is to help young people understand AI is not just about protecting them; it is about preparing them to lead. When teens feel confident asking questions, challenging assumptions, and making thoughtful choices about technology, they are not just building AI literacy; they are advancing into future-ready citizens.

Using AI to support Early Child Development

AI tools have been increasingly used in early child development, profoundly influencing how young children learn and grow. Early childhood, particularly the period from birth to 6 years of age, is a critical period that lays the foundation for future development. Specifically, early development (ages 0–6) is a particularly critical developmental window of rapid cognitive, social, and emotional growth. Experiences with AI technologies during this sensitive window, whether through educational tools, digital play or interactions mediated by caregivers, may have long-lasting implications for learning and development. For this reason, it is timely and important to provide a roadmap for relevant stakeholders, including educators, policy-makers, designers and parents, to guide the responsible integration of AI into early childhood contexts. Such guidance can help ensure that these technologies support, rather than undermine, foundational developmental processes.

AI toys and robots that are used to provide personalized learning experiences directly to children. When engaging with AI robotic toys, children participate in a wide range of play types, similar to play with peers or non-technological toys. AI also supports children with diverse needs, such as assisting those with different language backgrounds to overcome learning barriers or helping children with autism spectrum disorder to practice social skills. In the mesosystem, AI can support individuals working directly with children. It aids educators in implementing classroom activities in early childhood educational settings.

Module 1: Prelude to Artificial Intelligence:

Encouraging Artificial Intelligence in preschool, kindergarten, and elementary settings for exposure. AI in everyday life experiences in a classroom setting. Children master new skills and reach new stages in their development. Incorporating a STEM/Robotic Development Program to encourage Artificial Intelligence learning.

Module 2: An Introduction to Artificial Intelligence

Deduce how to gain a strategic advantage through the use of different kinds of intelligence. K through 12.

Module 3: The moral and ethical integrity of Artificial Intelligence.

Address the legal aspect of the AI world of convenience or invasiveness.

Module 4: Data System Community Protection of Water & Energy Consumption.

The pros and cons of Artificial Intelligence.

Module 5: Machine Learning in Business

Evaluate the appropriateness of a business application for machine learning.

Module 6: Natural Language Processing in Business

Evaluate the appropriateness of a business application for natural language processing.

Module 7: Robotics in Business

Evaluate the appropriateness of a business application for robotics.

Module 8: Artificial Intelligence in Business and Society

Assess the impact of AI on the future of work and society.

Module 9: The Future of Artificial Intelligence

Develop a road map for an organization to gain an artificial strategic advantage through the use of artificial intelligence.

Module 10: Advanced Artificial Intelligence Skills

A platform to automate manual procedures, improve risk assessment, and spend more time on judgment-driven work. Participants will expedite technology development, broaden the audit-focused product program, and focus on backing accounting practices that align with long-term strategy. This training will be geared to students interested in accounting practices and a career in auditing.

Module 11: Tennessee Certification Artificial Intelligence Training Certificate

Certificate of Training for participants.

Module 11: Special Workforce Development  Skills for High School Students.

Development of internships and placements for graduating students to receive real-life experiences in the field of Artificial Intelligence.

TENNESSEE ARTIFICIAL INTELLIGENCE (AI) DEFENSE PLAN will create new opportunities for collaboration between educators and employers, reflecting a broader lesson: Workforce development is more impactful when industry helps shape learning early. As cybersecurity threats grow more complex, many employers say preparing future talent does not begin at the point of hiring; it starts earlier, through partnerships connecting classrooms, credentials, and real-world experience.

When high school students step into a cybersecurity internship, they enter a field where the stakes are real. The tools, threats, and responsibilities extend well beyond the classroom. In rural communities, such opportunities can be transformative for both learners and the regions working to build a future-ready workforce.

Studies show early signs that more advantaged suburban school districts are ahead of urban, rural, and high-poverty districts in terms of AI use. This should be cause for concern for those who want to see the benefits of these technologies reach the students most in need of help, and it should spur policymakers and philanthropists to start taking more assertive action.

POTENTIAL THREATS IN DATA CENTERS:

Advanced Fire Detection: When it comes to smoke, fire, or gas in Data Centers, the consequences can be disastrous. These factors not only put data at risk - they threaten people, property, and reputations.

Modern data centers are becoming increasingly vital infrastructure, yet several recent high-profile fire incidents have exposed persistent vulnerabilities. As artificial intelligence (AI) technologies continue to advance, these risks will only intensify. Contributing causes of such fires include electrical faults, battery failures, cooling system malfunctions, and human error. Practical fire safety strategies for both prevention (i.e., AI-driven fault detection and fire-safe battery storage) and suppression (i.e., clean agents and liquid nitrogen systems) should be addressed. Emerging technologies are highlighted as potential fire safety enhancements, and their development and implementation in modern data centers are recommended. Two relevant methods for fire risk assessment should be explored, specifically non-scenario-based consideration of common fire causes and scenario-based examination of recent incidents. These assessment methods should be utilized while considering engineering design practices, operational feasibility, and regulatory alignment to enhance resilience and promote adoption in modern data centers.

TENNESSEE (AI) TECH PROGRAM (Adult):

This special design Tennessee Artificial Intelligence (AI) Program will be geared toward opening opportunities for underserved and marginalized communities, professionals enhancing their careers, or small businesses embracing Artificial Intelligence methods of operating.

Program Overview: The Artificial Intelligence: Business Strategies and Applications Program

The Artificial Intelligence: Business Strategies and Applications program from Tennessee (AI) TECH Education is designed to help professionals lead the AI transformation taking place across industries. With the generative AI market projected to reach US $1.3 trillion by 2032, according to Bloomberg Intelligence, business leaders are under growing pressure to turn AI’s potential into real business value.

Our Tennessee Artificial Intelligence program focuses on connecting automation, prediction, personalization, and risk modeling to measurable outcomes, including efficiency, innovation, and growth. You will engage with decision-making models, executive-level simulations, and AI application playbooks to understand how to evaluate opportunities and lead adoption efforts. Through visual and hands-on engagement sessions, case studies, applied learning, interactive discussions, and a capstone project, the program bridges the technical and strategic dimensions of AI to help you drive meaningful change within your organization.

In this program, you will:

Learn AI’s current capabilities and applications and its future potential

Learn how to leverage generative AI models and simulations for prediction

Learn how to organize and manage successful artificial intelligence application projects

Grasp the technical aspects of artificial intelligence well enough to communicate effectively with technical teams and colleagues

Learn how to avoid pitfalls associated with these new technologies

Build your leadership credibility by obtaining a certificate of completion from Tech (AI) TECH Executive Education Department across the State of Tennessee.

What You Will Learn in the Artificial Intelligence Program

The Artificial Intelligence program from Tennessee (AI) Tech Executive Department will help to introduce the basic applications of AI to those in business. You will learn about generative AI's current capabilities and potential while gaining a deeper knowledge about the reach of automation, machine learning, and robotics.

ARTIFICIAL INTELLIGENCE (AI) PROFESSIONAL TECH PROGRAM OVERVIEW:

Module 1: Introduction - Advanced Artificial Intelligence and Business Methodology

Module 2: The innovative history and legalities of Artificial Intelligence. AI Literacy.

Module 3: The pros and cons of Artificial Intelligence

Module 4: Environmental and natural resource concerns of Artificial Intelligence

Module 2: Machine Learning Basics

Module 3: Neural Networks and Deep Learning

Module 4: Key Applications: Computer Vision and Natural Language Processing

Module 5: Robotics

Module 6: Artificial Intelligence Strategy

Module 7: AI and Organizations: Building Your AI Team

Module 8: The Future of AI in Business

Module 9: Advanced Methodology of Artificial Intelligence

A subdiscipline of computer science that aims to produce programs that simulate human intelligence. Explore AI researchers who develop very high-level computer languages for this purpose, such as LISP, PROLOG, and Smalltalk. Identify many branches of AI, including robotics, computer vision, machine learning, game playing, and expert systems. AI reviews that examine research in other related areas, including cognitive science and computational linguistics.

Module 10: Advanced Artificial Intelligence (AI) Examination and Certification

Tennessee (AI) TECH Internship & Stipends:

This progressive program of learning will be a partnership with data centers across the State of Tennessee to ensure that Tennessee residents are reaping the benefits of these companies coming into their neighborhoods regarding employment, interactive business development, and governmental oversight & regulations.

Employment set-asides will be arranged to ensure the locations where these data centers are being placed are creating meaningful and economically feasible jobs to benefit the residents in that designated area if these data centers are receiving tax incentives and altering energy costs. Through strict Tennessee regulations, no data centers will be allowed to expose residents to hazardous pollutants that cause environmental concerns of any kind. Gas turbines, excessive water usage, or strain on our energy source will not be tolerated.

There will be a farm preservation zone empowerment in place to protect our farmland from being destroyed. Tennessee farmland must be secured and preserved for generations to come.