As we enter a new era defined by technological advancements, the rise of Artificial Intelligence (AI) presents both incredible opportunities and significant challenges. The choices we make about integrating AI into our workforce and society will shape not only our job market but also the well-being of our communities. This pivotal moment prompts us to consider: will we forge a future marked by prosperity and inclusion, or face a dystopian reality of inequality and despair?

The Dual Paths: The Possible Consequences of Unchecked AI

Imagine a world where AI is used solely for profit. In such a scenario, wealth could accumulate among a small elite, leading to sky-high unemployment rates—potentially reaching 50% or more for those without specialized skills. When large segments of the population are jobless, their spending power diminishes, triggering a severe economic downturn.

For instance, during the 2008 financial crisis, unemployment rates in the U.S. peaked at 10%. If we allow unregulated AI development to increase unemployment, we could see much worse outcomes. Without jobs, people cannot buy even basic necessities, which further harms businesses and leads to more layoffs, creating a vicious cycle. Ultimately, this could heighten social unrest and conflict, not only within our borders but internationally.

Embracing a Different Vision: Productive and Inclusive Work

On the flip side, we have the chance to reshape our economy toward a more inclusive future. With the rise of generative AI, productivity is rapidly improving. Workers utilizing AI tools for as little as 30 hours a week may outperform those working traditional 40-50 hour weeks. Research indicates that productivity can increase by over 40% when workers leverage AI effectively.

Looking ahead, an individual laboring just 20 hours a week with AI might generate the same output as someone putting in 60-80 hours a decade ago. This leads us to a pressing question: should we tie compensation primarily to hours worked or productivity achieved? It seems unjust to pay workers less simply because they accomplish more in less time.

A Revolutionary Employment Model: Fostering Balance

At Teos, we see the need for a new employment model. We advocate for a system where full-time employment could involve fewer hours while maintaining the same pay. By focusing on productivity, we aim to avert the economic collapse threatened by an unchecked AI implementation.

Currently, we consider 30 hours a week, aided by AI tools, as full-time work—providing benefits like health insurance and retirement plans essential for employees' well-being. Future adjustments may allow a reduction to 20 hours per week, giving workers more personal time while ensuring they contribute meaningfully to their roles.

The advantages of this approach are clear. First, it improves work-life balance, enabling workers to spend more time on personal interests, family, and community. Second, it keeps the economy vibrant by allowing more people to have money to spend, boosting economic growth rather than leading to stagnation.

Modeling the Future: Inspiring Change Across Industries

The methods we are developing at Teos are just the beginning. By demonstrating that a successful economic model can thrive with reduced working hours while enhancing productivity, we seek to inspire others, especially small businesses, to reconsider their approaches.

Imagine a reality where individuals can explore passions outside a traditional work schedule while still receiving fair pay. This vision is attainable through collaborative effort and a commitment to new employment models.

It's vital for employees, employers, and policymakers to engage in discussions about AI's effects on employment. We must push for systems that prioritize human well-being and promote shared prosperity. Open and inclusive dialogue will help us find pathways that benefit everyone and reduce the risks tied to AI's economic impact.

Determining Our Future: A Call to Action

In conclusion, we are indeed at a significant crossroads regarding AI, and our choices carry immense weight. Will we let technology exacerbate inequality and lead to social unrest, or will we harness its power to redefine work positively for all? The second path—focused on innovation, inclusivity, and reimagined work structures—offers a hopeful vision.

By acknowledging AI's potential for productivity while retaining the human element, we can create an economy that serves everyone—shaping a future defined by shared prosperity and well-being.

Let’s champion a brighter future where technology empowers individuals to thrive, steering us away from an economic collapse. Our collective actions today will influence the future of work and society for generations to come.

Artificial Intelligence (AI) is at the forefront of a technological revolution, transforming how we work, live, and interact. However, as this technology evolves, there is a growing concern that it may widen the wealth gap, favoring the rich while leaving the middle class behind. In this post, we will discuss practical steps the middle class can take to ensure AI serves as a tool for inclusive growth. We will explore not just strategies but also the moral imperatives that guide this necessary shift.

The Middle Class at a Crossroads

AI is becoming a crucial part of many sectors, such as healthcare, education, and manufacturing. According to a McKinsey report, automation could displace 75 million jobs by 2022, while simultaneously creating 133 million new roles across the globe. This statistic highlights the urgency for the middle class, which forms the backbone of the American economy. As employment opportunities are increasingly automated, wealth tends to concentrate among those with advanced tech skills, leaving many without a clear path to upward mobility.

To navigate this changing landscape, the middle class must proactively engage with technology in a way that promotes fairness and opportunity for all.

Understanding the Stakes

The Philosophical Basis

The equitable use of AI is not just a matter of economics; it represents a moral challenge. Wealth distribution should align with our societal values, which advocate for fairness and equal opportunity. If AI technology continues to empower only the wealthy, we may risk a future where social mobility becomes a distant memory.

The middle class has a responsibility to advocate for a system that promotes shared prosperity. When we stand for collective well-being, we create a society where AI benefits everyone, not just a privileged few.

Taking Action: Strategic Ideas

What actions can the middle class take to prevent AI from worsening wealth disparities? Here are some concrete strategies:

1. Support Strong Regulations

The middle class can play a vital role in advocating for transparent and fair AI regulations. This includes laws requiring ethical use of AI in hiring, lending, and other key processes. For example, the Algorithmic Accountability Act aims to hold companies accountable for biased algorithms. Such initiatives ensure fairness across the board.

Collective advocacy is powerful. By joining forces with workers’ rights groups or tech watchdog organizations, the middle class can amplify its voice and push for stringent regulatory measures.

2. Invest in AI Education and Skills Development

Education is crucial for bridging the gap created by AI. Communities can develop programs focused on tech skills to better prepare individuals for AI-driven job markets. For instance, coding bootcamps like FreeCodeCamp and platforms like Coursera offer free or low-cost courses, allowing people from all backgrounds to gain critical tech skills.

Additionally, local scholarships for training in AI and coding can open up new career pathways for the middle class. By equipping individuals with these essential skills, we foster engagement in vital conversations about technology's future.

3. Promote Collective Ownership Models

One innovative strategy for ensuring AI benefits a broader audience is to support collective ownership initiatives. Structures such as cooperatives and community-oriented tech projects empower individuals by allowing for shared profits and collaborative decision-making.

For example, Platform Cooperativism supports local tech cooperatives where members have a say in operations and profit-sharing. By investing in such initiatives, the middle class can promote local innovation and employment opportunities, effectively decentralizing wealth.

4. Champion Ethical AI Development

Encouraging tech companies to adopt ethical AI practices is crucial. When the middle class engages with public discussions on AI ethics, they hold corporations accountable for their actions.

Participating in community events, educational panels, and public comment periods can help cultivate a culture prioritizing ethical AI. Research shows that companies emphasizing ethical practices not only improve their public image but can also enhance their profitability by attracting socially conscious consumers.

Ensuring Fair Distribution of Wealth

To counteract the trend of wealth concentration linked to AI advances, equitable business practices are essential. Corporations should be encouraged—or mandated—to share profits with the communities that help them succeed.

For example, if a tech company replaces jobs through automation, it should invest a portion of its profits in worker retraining programs. Policies that promote this level of corporate responsibility empower the middle class, ensuring they have a say in how AI benefits are allocated.

The Importance of Collective Action

The challenges posed by AI do not have to spell disaster for the middle class. Through collective advocacy for regulations, investment in education, support for cooperative ownership, and the promotion of ethical frameworks, the middle class can pave the way for a more equitable future.

As we navigate the complexities of advancing technologies, it is vital to remember that these tools can serve either as vessels of empowerment or as agents of division. The middle class must remain engaged and proactive in shaping a future where the benefits of AI are truly inclusive.

In doing so, we can ensure that the story of AI is one of growth and access—a future where everyone has the opportunity to thrive.

In recent years, artificial intelligence (AI) has emerged as one of the most transformative technologies of our time. While some fear its potential to increase wealth concentration and displace jobs, AI also offers immense opportunities for social good. By adopting AI in ways that benefit all, we can pave the way for a more equitable, efficient, and prosperous world. Here are ten ways AI can benefit humanity.

1. Revolutionizing Healthcare

AI has the potential to dramatically change healthcare by improving diagnostics and personalizing treatment. Advanced machine learning algorithms can analyze large datasets to identify health patterns, predict disease outbreaks, and assist in drug discovery. A study from the Journal of Medical Internet Research shows that AI can reduce misdiagnosis rates by up to 30%.

Imagine AI helping doctors detect diseases like cancer early through enhanced image recognition. This could lead to timely interventions that improve patient outcomes and save healthcare systems billions in costs.

2. Enhancing Education

AI can create personalized learning experiences for students of all ages. Intelligent tutoring systems can adapt lessons according to individual learning speeds and styles, thereby improving retention. For instance, a report from McKinsey found that personalized education can dramatically improve student performance by 10-30%.

By democratizing access to quality resources, AI can help students in underserved communities thrive. Instead of a one-size-fits-all curriculum, classrooms can cater to each student's unique needs, fostering a more skilled workforce for the future.

3. Tackling Climate Change

AI can be a game-changer in the fight against climate change. It enhances energy efficiency, improves resource management, and monitors environmental changes effectively. For example, AI algorithms can optimize electric grid performance, leading to a 10% reduction in energy consumption based on a study by PwC.

Using AI to analyze climate data can lead to smarter city designs and sustainable agricultural practices. Such initiatives can lower carbon footprints, helping us transition to a greener future.

4. Improving Public Safety

AI can enhance public safety measures through data analysis of crime patterns and traffic situations. Predictive policing uses AI to analyze historical data, which can help reduce crime rates by 20% in some areas, according to the Urban Institute.

While responsible implementation is critical, AI has the potential to create safer public spaces, ensuring our communities are protected more effectively.

5. Increasing Accessibility

AI's ability to enhance accessibility for individuals with disabilities is compelling. Tools like speech recognition, text-to-speech, and computer vision can make information more navigable and comprehensible. According to the National Center for Learning Disabilities, AI-supported technologies can improve student access to education for 8% of the population in the U.S. who has learning disabilities.

By breaking down barriers, AI can create an inclusive society where everyone, regardless of ability, has equal access to opportunities and services.

6. Advancing Agricultural Practices

AI can revolutionize agriculture, improving crop yields and sustainability. Machine learning algorithms analyze factors like soil health and weather patterns to recommend effective planting strategies. For instance, a report from the Food and Agriculture Organization indicates that AI could help reduce waste by up to 30%.

This leads to increased food security and benefits populations in developing regions where food shortages remain a pressing concern.

7. Facilitating Humanitarian Aid

AI can improve humanitarian aid distribution by analyzing data to identify needs and optimize delivery methods. Natural language processing allows NGOs to gauge sentiment through social media and news, enhancing response strategies. During the 2015 Nepal earthquake, AI supported real-time assessments, helping channel aid quickly.

In crisis situations, AI makes humanitarian efforts more effective and efficient, saving lives in affected communities.

8. Empowering Individuals with Financial Literacy

Financial literacy is vital for economic empowerment. AI tools offer personalized advice, budgeting tips, and investment insights. Such tools can help individuals make smarter financial decisions, leading to increased savings and investments.

A study from the Financial Planning Association states that financial empowerment through AI tools could help reduce the wealth gap, allowing more individuals to achieve stability and independence.

9. Streamlining Governance

AI enhances governance by increasing efficiency and transparency in public services. Analyzing data from various public sources helps identify government inefficiencies and streamline processes. According to a report by Deloitte, AI can improve public service delivery speeds by 25%, benefiting citizens with real-time access to government services.

This fosters trust and engagement between governments and their citizens, contributing to a more participatory democratic process.

10. Unlocking Creative Potential

AI extends beyond functional applications; it also boosts creativity. Technologies like generative design and AI-assisted art creation allow individuals to explore new forms of expression. A report from Adobe highlighted that 61% of creatives believe that AI will play a significant role in how creative content will be generated in the future.

By enabling more people to innovate and create, AI cultivates a vibrant cultural landscape that enriches society as a whole.

The Path Forward

The potential of AI to uplift humanity is only limited by our imagination and willingness to implement it responsibly. By focusing on inclusive and equitable applications, we can transform lives and enhance our future.

To ensure AI serves the greater good, advocacy for ethical development and accessible technology is crucial. With a collective effort, we can harness AI’s power to build a tomorrow where everyone can thrive, creating a just and fair society for all.

Artificial Intelligence (AI) is reshaping our world in significant ways. From enhancing productivity in industries to improving our daily lives with smart technology, AI's promise is immense. However, as we harness its power, we must carefully consider the ethical challenges that arise from its development and use. This blog post explores the key ethical issues related to AI, provides relevant examples, and discusses how we can responsibly integrate AI in a way that benefits society while acknowledging the risks associated with profit-driven motives.

The Issue of Copyrighted Material in AI Training

A critical ethical issue in AI is the use of copyrighted materials for training purposes. AI systems, particularly in machine learning, draw from vast datasets that often include copyrighted content, raising questions about intellectual property rights.

For example, generative AI tools like Midjourney create artworks by mimicking the styles of existing artists. If these tools are trained on copyrighted works without permission, they could infringe on the creators' rights. In 2022, Midjourney faced lawsuits over the unauthorized use of copyrighted images to train its algorithms.

While some argue that this practice falls under fair use, the ambiguity in copyright law leads to potential exploitation of artists. As AI continues to advance, establishing clear frameworks to protect intellectual property while encouraging innovation is essential. For instance, the Association of Computing Machinery (ACM) emphasizes transparency in how data is sourced and used in developing AI systems.

Job Displacement Due to Automation

The rise of AI automation brings valid concerns about job displacement across various sectors. While AI can significantly enhance efficiency, it also poses risks to the livelihoods of many workers.

In the manufacturing sector, for instance, robots are increasingly performing repetitive tasks like assembly line work. This shift has improved output and reduced costs, but it has also led to significant job losses. A McKinsey Global Institute report predicted that by 2030, up to 375 million workers worldwide may need to transition to new roles due to automation.

This situation prompts an important ethical question: What responsibilities do companies and governments have to retrain and support workers affected by automation? Investing in retraining programs and career transition support is crucial to ensure that technological advancements do not come at the cost of human employment.

Addressing Training Bias in AI Models

Bias in AI systems is another pressing ethical concern. AI learns from the data used to train it, which can lead to issues if that data contains inherent biases.

A notable case was highlighted by an MIT study indicating that an AI recruiting tool was biased against women because it was trained primarily on male resumes. Consequently, this AI overlooked qualified female candidates, perpetuating a gender bias in hiring practices.

To tackle this issue, organizations are increasingly focusing on creating diverse training datasets and implementing algorithmic adjustments for fairness. Companies have initiated projects that prioritize fairness in AI recruitment tools, emphasizing the need for developers to actively seek equity in their training processes.

The Dawn of Surveillance Capitalism

As AI becomes more integrated into everyday life, concerns over privacy and surveillance are growing. Many AI systems, such as facial recognition technology, pose ethical dilemmas when used for monitoring and security.

For example, cities that have implemented facial recognition systems claim it reduces crime rates, yet critics argue it infringes on individual privacy. Instances of facial recognition being used in public spaces without consent have raised alarms about civil liberties and potential abuses of power.

Without proper regulations, the capacity of AI to monitor individuals can deepen societal inequalities. Establishing guidelines that protect individual rights while ensuring public safety is essential in navigating the ethical implications of AI surveillance.

Ensuring Ethical AI Development and Deployment

Given the important ethical concerns tied to AI, fostering responsible AI practices is crucial. Ethical AI development goes beyond mere legal compliance; it requires a commitment to transparency and accountability.

Several organizations, including the Partnership on AI, have established guidelines to inform ethical AI strategies. These guidelines advocate for collaboration among technologists, ethicists, and impacted communities. Including diverse perspectives in AI development can help create systems that uphold ethical values while meeting technical standards.

The Positive Potential of Ethical AI

Ethical AI can yield substantial benefits for society. In healthcare, AI applications can analyze patient data to detect diseases early, improving treatment outcomes and public health. For example, AI models are being used to predict patient deterioration, allowing for timely interventions that can reduce hospital readmission rates by up to 30%.

In education, AI-driven personalized learning platforms adapt to individual student needs, promoting equity in learning opportunities. Such applications demonstrate that when ethical considerations guide AI development, the technology can have a positive societal impact.

Moreover, prioritizing ethical AI can spur innovation and economic growth, creating jobs in emerging sectors. By focusing on people over profit, stakeholders can cultivate environments where technology supports and uplifts communities.

The Dangers of Prioritizing Economic Gain

On the flip side, developing AI solely for profit poses serious risks. When financial gain becomes the primary focus, exploitative practices may occur, reinforcing existing inequalities and undermining public trust in technology.

Take the Cambridge Analytica incident as a prime example. The misuse of personal data for political gain demonstrated the catastrophic consequences of disregarding ethical standards. Such scandals highlight the necessity for developers and organizations to avoid prioritizing short-term profits over societal welfare.

To foster a healthier relationship with technology, an ethical approach to AI development must emphasize the long-term implications for communities and individuals.

Creating a Framework for Ethical AI

Going forward, the creation of a comprehensive framework for ethical AI is essential. Collaboration among governments, tech companies, academia, and civil society is necessary to develop guidelines that ensure transparency and fairness in AI systems.

This includes regulatory measures that protect individual rights and set standards for data privacy and AI deployment. By uniting various stakeholders, we can work towards an AI landscape that serves as a positive force for social change, addressing societal challenges rather than compounding them.

Final Thoughts

The ethical challenges surrounding AI are complex and multi-layered, covering issues from copyright infringement to job displacement and bias. As technology advances rapidly, tackling these concerns becomes increasingly vital.

To develop ethical AI, we must commit to transparency, inclusivity, and accountability. By placing ethical considerations at the forefront, we can harness AI’s potential to enhance lives while minimizing the risks of exploitation and inequality.

When approached with thoughtfulness, AI can indeed be a force for good. Engaging all stakeholders in this crucial conversation is imperative as we navigate the ethical landscape of our AI-driven future.

Whether you realize it or not, individuals from the LGBTQ+ community have a major impact in computer science and technology. Currently over 45% of women and 14% of men, in computer science, self-identify as LGBTQ+. Some of the most famous names in computing, as well as more contemporary names, all have made massive contributions. These must be acknowledged and respected, in order to keep the proud tradition of LGBTQ+ people in technology alive.

In this article, we'll examine some early pioneers, look at some contemporary technologists, point out some examples of technology specifically meant to empower the LGBTQ+ community, and mention some general LGBTQ+ resources. All of which, is meant to raise awareness and support of LGBTQ+ individuals and causes in technology.

Pioneering LGTBQ+ Computer Scientists

There are dozens of lists online, of famous LGBTQ+ computer scientists, so I won't try to reinvent the wheel. However, I would be remiss, if I didn't acknowledge a few early pioneers.

Alan Turing

The first person that comes to mind, for many people, when they think about the LGBTQ+ impact in computing, is Alan Turing. He was an English mathematician and computer scientist, who lived from 1912 to 1954. He is regarded, by many, as the father of computer science. During the second world war, Turing helped defeat the Nazis and win the war for the allies, by cracking the code to the infamous German Enigma cipher machine.

Additionally, this renowned computer scientist created the Turing Test, which is known as the definitive test to distinguish between a human and a machine. The Turing Test states, that if a computer can mimic human responses under controlled conditions, then that machine possesses artificial intelligence.

Horribly, after World War II, which he helped to win, Turing was prosecuted by his own government for homosexual acts, which were illegal under British law at the time. He was forced to endure chemical castration in order to avoid time in jail. Sadly, two years later, he was found dead by cyanide poisoning. It's still uncertain if this was suicide or accidental. Despite his tragically short life, Turing's legacy can be felt to this day.

Sofia Kovalevskaya

While Alan Turing may be known as the father of computer science, a woman named Sofia Kovalevskaya was making waves a century before him. She was a pioneer for women in the field of mathematics, who lived from 1850 to 1891.

Kovalevskaya was the first woman in Europe to earn a Ph.D. in mathematics, at the young age of 24. She was also the first woman to be a professor in northern Europe. She made major advancements in mechanics, analytics, and differential equations.

Christopher Strachey

An LGBTQ+ individual has the honor of arguably being the first known creator of a video game. Christopher Strachey was a British research physicist and computer scientist who lived from 1916 to 1975. He taught physics and mathematics at a number of prestigious European schools.

Strachey did pioneering work on computer programming languages, which as you may know, are how just about all software is created these days. In addition to developing video games, Strachey further demonstrated his creativity by programming the first computer-generated music. His work led to technologies that now permeate our tech landscape.

Contemporary LGBTQ+ Technologists

While there were some amazing LGBTQ+ pioneers in computing, who laid the foundations of gender diversity in technology, there are those, in our time, who have taken up the torch and continue to fight for LGBTQ+ rights. We'll look at three modern-day LGBTQ+ technologists, currently making an impact.

Lynn Conway

Being a transgender woman in computing, Lynn Conway has faced her own set of struggles. She is an American electrical engineer and computer scientist, born in 1938, who revolutionized microchip design.

As a pioneer in transgender rights in technology, Conway has overcome many challenges. After she transitioned in 1968, she was denied access to her two children. She was subsequently fired by IBM, after stating her intention to live as a woman.

Despite these setbacks, Conway continued her career, making numerous major discoveries in microprocessing. Her own experiences led her to pursue an important role as a transgender advocate.

Ann Mei Chang

Born in 1967, Ann Mei Chang earned her Bachelor's degree in Computer Science from Stanford University. She has been employed as a technology expert and executive by Google, Apple, Intuit, and more. She has worked as Senior Engineering Director, Chief Innovation Officer, and a Senior Advisor to the US Department of State.

In addition to being a technology innovator, Chang is an accomplished public speaker, author, and advocate for global development. She has written on innovating for social good and spoken about her experience as a lesbian in a male-dominated world.

When the first openly gay candidate for US President, Pete Buttigieg, recently ran, Chang served as his chief of innovation. While Buttigieg ultimately didn't win the election, together they helped raise awareness of LGBTQ+ issues.

Tim Cook

Best known as the CEO of Apple, Tim Cook came out as gay in 2014. In doing so, he became the first gay CEO of a Fortune 500 company to publicly come out. He is an American industrial engineer and business executive, born in 1960.

Cook earned degrees from Auburn and Duke Universities. Prior to joining Apple in 1988, he worked twelve years at IBM, for their personal computing branch. While there, he worked as a director and later as the chief of operations.

In 2011, shortly before the death of Steve Jobs, the previous CEO, Tim Cook took over as the chief executive officer of Apple. Since becoming CEO of Apple, Cook has championed cybersecurity, environmental conservation, and government surveillance reform,

Technology for the LGBTQ+ Community

With constant advancements in computing, there is more and more technology, meant to empower the LGBTQ+ community. From social networking, to travel, streaming, and dating, these apps have you covered.

Moovz Social Network

If you're looking for supportive socialization, Moovz has it, as a social network dedicated to LGBTQ+ people, without the hook-up culture found on other sites. Thanks to Moovz, you don't have to worry about the bias found on different social networks. Furthermore, they have people watching for toxic messages and replies, to ensure that you have a safe environment.

Mister B&B

Think of your favorite lodging app, but without the homophobia and bigotry, that you may have encountered in the past. Mister B&B has locations in over 125 countries, where the LGBTQ+ community is embraced. It can be used to find lodging, as well as getting paid, to offer a welcoming, safe place to stay, for LGBTQ+ individuals.

OUTtv

If you're looking for entertainment geared towards the LGBTQ+ community, look no further than OUTtv. With it, you can stream LGBTQ+ movies, TV shows, news, and documentaries. With the other big streaming services always raising their rates, it might save you some money, too.

Grindr, Her, Trans

If you're looking for love (or something more casual) in the LGBTQ+ community, Grindr, Her, and Trans offer a world of possibilities. Grindr caters to gay and bisexual men, whereas Her is meant for lesbian and bisexual women. For transgender members of the community, there is the Trans dating app.

LGBTQ+ Resources

Finally, I would like to wrap up our look at LGBTQ+ in technology, by offering a few general resource, that may help you, or someone you know.

LGBTQ+ Lifeline

The National Suicide Prevention Lifeline (1-800-273-8255) offers help and resources for those in the LGBTQ+ community, with a strong focus on harm reduction. It also has resources for LGBTQ+ allies, to help those outside the community understand how they can offer support.

Trans Lifeline

For the transgender community, the Trans Lifeline ( 1-877-565-8860) offers transgender peer support, a suicide prevention hotline, and resources, including microgrants. It is help for the transgender community, from people in the community themselves.

Trevor Project

For LGBTQ+ youths, there is the Trevor Project, which provides counseling, harm reduction, and other resources. In addition, it offers a safe, online space to meet friends. LGBTQ+ youths can also be connected with a counselor, or explore topics about sexual orientation and gender identity.

VA LGBTQ+ Patient Care

Finally, for LGBTQ+ veterans, the Department of Veterans Affairs (VA) offers specialized patient care for LGBTQ+ people, who served their country. There is an LGBTQ+ Veteran Care Coordinator (LGBTQ+ VCC) at every VA facility. You can get healthcare that is affirmative, inclusive, and respectful of your identity.

Wrapping Up

That concludes our look at LGBTQ+ pride in the technology world. If you're a member of the community, I hope this offers something useful and maybe increased your own pride. If you're outside the community, I hope this has raised awareness of the contributions, of a significant portion of our population. After all, some of the technology you use today, was made possible by LGBTQ+ individuals.

#lgbt #lgbtq+ #pride #technology #lgbtqtechnology #ally

Software Engineering and Consulting company, Teos Technology LLC, registers in the State of Colorado and adopts new vision "Do good in the world."

Monument, CO

May 3rd, 2022

This is an exciting day at Teos Technology LLC. Today, we became a registered Limited Liability Company (LLC) in the State of Colorado, specializing in custom software development and consulting. We also unveiled our new vision "Do good in the world," which will drive our path forward.

About Teos Technology LLC

At Teos Technology LLC, we believe in doing things differently. For starters, we feel that our products and services must do good in the world. With that as our vision, we strive to create products and services that actually help people and improve their lives.

One domain we’re passionate about is mental health, which doesn’t always receive enough attention in the Information Technology world. We would like to change that, both through our innovative products, and by breaking the stigma around mental health issues.

Teos Technology LLC currently has multiple products, either in production or beta-testing, which seek to improve mental health. The first, currently in production, is Let’s Breathe, which is an Amazon Alexa Skill for guided breathing and meditation.

Our product CheckIn is an Android App, which tracks the user’s mood and sends an intervention text, if the user reports being suicidal. It also provides graphical charts, which help the user identify trends in their mood over time.

CheckIn is currently soliciting beta test users, in anticipation of its launch to production.

Media Contact

Scott J. Swindell (he/him/his)

Chief Executive Officer

scott.swindell@teos-technology.com

405-445-9761

teos-technology.com

This news release is available as a downloadable PDF here: