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Deepfakes, including AI-generated images, videos, and audio recordings, are commonly spread via social media and digital forums. As these fakes become more convincing, they make it harder to tell what’s real.

From K-12 through higher education, schools are increasingly using AI in their daily operations. However, as AI becomes more common in classrooms, there are not enough checks and safeguards in place to protect students from AI errors, privacy violations, and discriminatory treatment.

Employers can use artificial intelligence systems to recruit, hire, fire, and surveil workers. These systems can be biased and lack transparency, causing unjust worker discrimination. Additionally, automation and generative AI systems are changing the nature of the workplace, which may result in job displacement.

Banks and other financial institutions are increasingly using AI tools to decide who gets access to what financial services. These systems, often trained on large datasets that contain biased data, can lead to unfair treatment, especially for people of color, women, and low-income borrowers.

AI is transforming the work of healthcare and insurance companies. New systems are being developed for clinical diagnoses, to decide which patients get treated first, to distribute financial assistance, and to verify patients’ identities. However, these technologies may encode bias and lack transparency, raising concerns about unfair treatment and limiting access to healthcare for some groups.

AI tools for housing, often referred to as Landlord Tech, approve tenants, set prices, and monitor properties. These technologies can automate unfair housing practices that give property owners illegal advantages and bar others from access to housing. Surveillance tools may invade residents’ privacy and lead to wrongful targeting for law enforcement.

AI advancements in surveillance enhance drones, policing, data collection, and covert intelligence. As AI expands the capabilities of surveillance in nearly every aspect of daily life, the risks of privacy invasions, data breaches, and harmful system errors also grow.

Cities are using AI to address traffic issues, identify people in transit, and develop autonomous vehicles. However, biased algorithms, increased surveillance, and data misuse can put individuals and communities in harms’ way.