AI and Society: AI touches or will touch every aspect of our society
For those of us who are Luddites, we rail against what AI is doing and what it has done. As Albert Romero says in a recent Medium article, “AI won’t take your job, a person using AI will; most likely, you using AI will replace yourself, not using it. There is no doubt that, at this point in the AI revolution, work and society are changing.
I now have access to more information than ever before, which enables me to refine my writing while still maintaining my unique voice. Although some college professors might disagree that it is mine because I didn’t spend hours in the library looking through books and finding the information myself. Is spending hours doing research better than using an AI bot to do it in minutes?
The Washington Post article, “Is AI rewiring our brains?”, quotes studies that show that using AI weakens our cognitive abilities. In other words, we are becoming lazy thinkers. These studies are in the early stages, but the results are disturbing.
There is no doubt in my mind that AI will change our society. I believe it will have a bigger impact than the Industrial Revolution. All entry-level, repetitive jobs are likely to be replaced by either fewer people using AI or by an increasing number of robots. As early as November 2022, Fox News was doing articles about robotic cooks. There is a new burger and fries restaurant in California where all the cooking is done by robotics.
Here are some of the other areas where change is happening or already in progress.
1. Healthcare Transformation
My daughter, an MD in New Zealand, has been performing telemedicine for the last several years. As AI becomes increasingly integrated into our health system, routine tasks like doctor notes will be taken over by AI.
- Personalized medicine: AI will enable tailored treatments and more precise diagnoses. I can imagine the time when general practice doctors are replaced by AI equipment. We’re nearing the era of Dr. McCoy from Star Trek doing a diagnosis by running a handheld device over our body.
- Accelerated drug discovery: AI enhances the identification and testing of new medicines.
- Improved public health: Enhanced ability to track, predict, and respond to disease outbreaks.
2. Workforce and Job Market Changes
- Automation of routine jobs: Many manual and repetitive tasks will be replaced by AI systems and by people who learn how to use AI. It may not be you if you learn to speak AI.
- Emergence of new roles: New jobs in AI development, oversight, and related fields will arise.
- Need for AI skills: Workers will need to adapt to changing job requirements. It is necessary to understand AI and how it can be adapted to the problems you face. It won’t replace you unless you let it.
3. Transportation Revolution
- Autonomous vehicles: Self-driving cars, trucks, and drones will change commuting, logistics, and delivery. They are being tested today in a city close to you.
- Safer roads: AI-driven systems can reduce accidents and enhance traffic management.
4. Customized Education
- Adaptive learning platforms: AI tailors lessons to individual student needs.
- Instant feedback: Real-time assessment and support for students and teachers.
5. Improved Decision-Making
- Data-driven insights: AI analyzes large datasets to support improved decisions in business and government.
- Process automation: Optimizing business operations for greater efficiency.
6. Tackling Climate and Environmental Challenges
- The Scale of AI’s Environmental Impact
The environmental impact of AI is staggering in scope. Data centers now consume 4-5% of US electricity, a dramatic increase from 1-2% just a few years ago. This surge is primarily driven by AI applications, with projections indicating that energy demand from AI servers and data centers could triple between 2023 and 2028.
Current estimates suggest that by 2030, data centers could consume between 4.6% and 9.1% of US electricity, with some forecasts reaching as high as 12%. The International Energy Agency projects that data center electricity consumption will more than double by 2030, reaching 945 terawatt-hours – roughly equivalent to Japan’s entire annual electricity consumption.
Individual AI interactions carry a surprising environmental cost. A single ChatGPT query uses approximately 10 times more electricity than a Google search, consuming about 2.9 watt-hours compared to 0.3 watt-hours for a traditional search. When multiplied across millions of daily users, ChatGPT alone generates over 260,000 kg of CO2 monthly, equivalent to 260 transatlantic flights.
- Water Consumption Crisis
Another critical environmental concern is that just five ChatGPT queries can consume around 16 ounces of water, equivalent to a standard water bottle. At scale, this becomes significant: GPT-3 is estimated to drink 500 ml of water per 10-50 responses.
In Virginia, home to the world’s largest concentration of data centers, water usage jumped by almost two-thirds between 2019 and 2023, from 1.13 billion gallons to 1.85 billion gallons. Close to two-thirds of new data centers constructed since 2022 have been built in locations with significant water stress.
Geographic concentration exacerbates the water problem. Five states – California, Arizona, Texas, Illinois, and Virginia – account for 72% of all new data centers in locations of acute water stress. Microsoft acknowledges that 42% of its 2023 water consumption came from areas with water stress.
Privacy Issues
- Unauthorized Data Collection and Use: AI systems often collect and process large amounts of personal data, sometimes without explicit user consent or clear notification. This can lead to privacy violations, such as personal information being used for purposes beyond what was initially intended or being shared with third parties without the individual’s awareness.
- Lack of Transparency Many AI models operate as “black boxes,” making it difficult for users to understand how their data is being used, stored, or repurposed. This opacity can erode trust and prevent individuals from exercising control over their personal information.
- Data Security Risks The vast datasets required to train AI systems are attractive targets for cyberattacks. Data breaches, prompt injection attacks, and model manipulation can expose sensitive information, leading to identity theft or other damages.
- Biometric and Surveillance Concerns AI-powered surveillance tools, such as facial recognition and tracking systems, can monitor individuals on a massive scale. This raises significant concerns about ongoing monitoring, loss of anonymity, and potential misuse by authorities or private entities.
- AI systems often operate across jurisdictions, complicating the enforcement of privacy regulations and making it difficult to maintain consistent data protection standards.
Societal Issues
- AI systems can perpetuate or even amplify existing biases present in training data. This can lead to unfair treatment in areas like hiring, lending, law enforcement, and healthcare. It can strengthen social inequalities and result in discriminatory outcomes.
- Job Displacement and Economic Inequality. Automation driven by AI threatens to replace many repetitive or routine jobs. A potential replacement could lead to widespread unemployment and increased socio-economic disparities, especially for lower-wage workers.
- AI can be used to generate convincing fake content (deepfakes), manipulate public opinion, and spread misinformation or disinformation, especially during elections or political campaigns. This undermines the integrity of public discourse and democratic processes.
- Personalized recommendations, targeted advertising, and algorithmic decision-making can influence consumer behavior, potentially reducing individual autonomy and leading to manipulation or loss of personal agency.
- Security and Weaponization. Malicious use of AI includes cyberattacks, automated surveillance, and the development of autonomous weapons. These pose risks to digital, physical, and political security and raise complex ethical questions about accountability and control.
- Over-reliance on AI for decision-making and daily tasks may impact human cognitive and social skills, potentially leading to diminished critical thinking and interpersonal abilities.
| Example Issues | Impacts | |
| Privacy | Unauthorized data use, surveillance, and data breaches | Loss of privacy, identity theft, erosion of trust123 |
| Bias & Discrimination | Algorithmic bias in hiring, lending, law enforcement | Unfair outcomes and social inequality |
| Employment | Job automation and displacement | Unemployment, inequality |
| Manipulation | Deepfakes, misinformation, targeted advertising | Undermined democracy and loss of control |
| Security | Cyberattacks, weaponization, surveillance | Threats to safety and security |
- AI’s rapid advancement brings both opportunities and significant challenges. Addressing these privacy and societal issues requires transparent governance, strong regulation, and ongoing ethical reflection to ensure AI benefits society as a whole.
So what is coming? Pseudo-human robots are currently being tested and will become more common and human-looking as time passes. I may live long enough to see the science fiction of my youth come to pass. So, is AI good or bad for us? The judges are on vacation, and the vote probably won’t be taken for several years. For now, AI is changing, and we will have to adapt.
So, how do I learn about AI? First, you can sign up for a free ChatGPT login and explore it. This will give you the functionality for getting answers to the questions you pose and some level of research. But there are so many AI models available; this may not continue to meet your needs or interests. You may have specialized needs like video or music, etc.
But AI is much more than this. I choose to pay for a single subscription to MAGAI, which provides around 50 AI products and offers extensive learning resources. If you are interested in MAGAI, please click this affiliate link above. Your costs won’t increase, but I will get some recognition for bringing you into the MAGAI community.
