Position paper: AI as a force for communities and inclusion – with realistic, measurable goals

Introduction: The world is changing, but who benefits?

Artificial intelligence (AI) is changing how we work and live. While big companies are leading the charge, small businesses now have more opportunities to adopt AI. Yet many communities, especially in rural areas and among diverse populations, still feel disconnected from AI’s potential. They see it as something distant, but in reality, AI will soon change jobs, communities, and the economy in fundamental ways.

America thrives on strong communities. Now is the time to act, ensuring AI not only boosts tech company profits but also strengthens local communities. This paper offers a practical approach with clear, measurable goals that help both the economy and every American be part of this technological shift.

The hard truth: AI could widen the gap

AI is powerful but can also make inequalities worse if used poorly. Many AI systems rely on data containing biases, which can lead to certain groups being unfairly treated. As more businesses adopt AI, jobs that don’t require much education may disappear, putting more pressure on already struggling communities.

Right now, many people don’t see the impact of AI in their lives because it feels distant. But the changes are coming fast.

The reality in America: it’s about the money

In the U.S., many decisions are driven by profit. Big companies invest in AI because it boosts their bottom line. The challenge is how to make AI work for both businesses and communities. With smart policies, we can make sure AI strengthens the economy without leaving communities behind.

The solutions: a practical approach with measurable goals

Here are realistic solutions, with specific targets, based on proven growth trends in AI companies and the rapid adoption of AI by small businesses. These steps aim to reduce bias in AI, address economic inequality, and help communities without ignoring the realities of the U.S. economy.

1. Use AI to strengthen communities: economic and social benefits

AI can do more than cut costs; it can also support communities and boost local economies.

Solutions and targets:

• Support for community-focused AI: Governments can reward companies that use AI to help small businesses, improve infrastructure, or enhance education.

Goal:

• In 3 years: At least 50% of tax breaks for AI projects should go to companies using AI for community-focused solutions like healthcare, education, or public services.
• In 5 years: A 300% increase in the number of small businesses (with fewer than 50 employees) using AI in sectors like farming, healthcare, and community services. For example, if there are 1,000 such companies today, there should be 4,000 in five years.

• AI for local businesses: Small businesses can use AI to compete better and grow. Governments can set up programs to make AI tools easier to access for these businesses.

Goal:

• In 2 years: 10,000 small businesses will have access to free or subsidized AI tools through government programs.
• 15% revenue growth for small businesses that use AI solutions within 3 years.

2. Increase AI transparency and accountability

AI systems need to be open and responsible to build trust and ensure fairness.

Solutions and targets:

• AI transparency laws: Companies must explain clearly how their AI systems work and what data is being used.

Goal:

• In 2 years: 75% of companies in industries like lending, healthcare, and hiring should meet transparency standards for their AI systems.
• In 3 years: 50% fewer biased AI decisions, thanks to regular checks and monitoring for fairness.

• Independent AI reviews: AI systems should be regularly checked by independent experts. Companies and (local) governments that meet ethical standards can receive a certificate to boost their reputation.

Goal:

• In 3 years: At least 80% of large companies using or offering AI for important decisions should undergo independent reviews.

3. Fight bias in AI: fairness and inclusion as a priority

AI systems can make existing biases worse, especially if the data they use isn’t diverse enough. This problem must be dealt with directly.

Solutions and targets:

• Require inclusive data: AI systems should be trained using data that reflects the full diversity of the population.

Goal:

• In 3 years: 100% of government-run AI systems must be trained on diverse data that represents the U.S. population.

• Hold companies accountable for bias: Companies using biased AI should be held responsible. Laws should require regular testing to check for bias.

Goal:

• In 5 years: 70% of companies in fields like hiring, lending, and housing should conduct regular bias tests, aiming to reduce complaints about biased decisions by 50%.

4. Use AI to create jobs in community services

AI shouldn’t just replace jobs; it should also create new ones, especially in healthcare, education, and other community services.

Solutions and targets:

• AI in healthcare and education: AI can handle repetitive tasks, giving workers more time to interact with people and provide care.

Goal:

• In 3 years: 25% of healthcare providers in rural areas will use AI to automate administrative tasks.
• In 5 years: A 20% improvement in healthcare quality, measured through patient feedback systems supported by AI.

5. Provide education and training for AI-related jobs

As AI changes industries, people need new skills. Training is key to making sure everyone can take part in the new job market.

Solutions and targets:

• AI education programs: Businesses, governments, and schools should work together to offer affordable training to everyone, regardless of their background.

Goal:

• In 3 years: 1 million Americans will be trained for AI-related jobs through public and private programs, focusing on rural areas and underrepresented groups.
• In 5 years: 60% of new tech jobs will be filled by workers trained through reskilling programs.

Conclusion: AI as a force for everyone, guided by measurable results

AI is evolving quickly. The future depends on the choices we make today. By setting clear goals and focusing on real return on investment, we can ensure AI drives economic growth while helping communities grow stronger, instead of leaving people behind. Businesses can stay profitable, while communities become more resilient.

Now is the time to use technology for the benefit of everyone. Let’s ensure AI connects communities, reduces inequality, and builds a better future for all.