Summary
Highlights
Artificial intelligence is rapidly advancing, with the potential to revolutionize daily life in areas like work, mobility, medicine, and communication. However, it also raises questions about job displacement, privacy, and surveillance, leading to a journey to explore AI's capabilities and its implications for the future.
Silicon Valley, the epicenter of the digital revolution, showcases Amazon Go, a new supermarket utilizing AI for a cashier-less shopping experience. Customers use an app, and sensors/cameras track their movements and purchases. While offering convenience, this system raises concerns about constant surveillance and the trade-off between comfort and privacy.
Stanford University is at the forefront of AI research, developing algorithms that can screen X-rays for diseases. Computer scientists demonstrate how a mobile phone photo of an X-ray can yield a diagnosis with probabilities for various pathologies in seconds. Trained with vast datasets of X-rays and diagnoses, the AI's diagnostic accuracy is comparable to radiologists, and in some cases, even outperforms them.
AI is being used to detect early warning signs of diseases from seemingly banal data, such as walking patterns. Max Little's team at Aston University uses voice recordings to detect Parkinson's disease with 99% accuracy. AI can also analyze smartphone accelerometer data to identify subtle changes in gait that could indicate early Parkinson's, potentially allowing for earlier intervention. This highlights the interdisciplinary nature of AI in medicine, involving data scientists and mathematicians.
Despite the potential for early diagnosis using smartphone data, there are significant ethical concerns regarding data collection and privacy. Max Little emphasizes that such data should not be used for automatic diagnoses without proper regulation and ethical frameworks. Tech giants are keen on these business opportunities, underscoring the urgent need for AI regulation alongside its development.
China aims to be the global leader in AI by 2030, backed by billions in government subsidies. Beijing's smart restaurant employs robots for cooking and serving, and the entire operation is digitized. Gesche Joost, a design researcher, notes the immense drive for change in China. The smart city control center in Shenzhen, developed with Huawei, uses AI to manage urban planning, infrastructure, and even detect illegal structures. Surveillance cameras are ubiquitous, leading to a drastic reduction in crime rates. Jaywalking, for instance, immediately impacts a citizen's social credit score.
China's approach to AI heavily incorporates surveillance, raising questions about privacy and personal rights. While it has led to increased public safety and efficiency in smart city management, it translates to near-total surveillance, with cameras even monitoring restaurant kitchen cleanliness. This level of societal transparency for progress raises concerns about a potential 'data dictatorship' and a stark contrast to Western views on privacy.
Silicon Valley's tech giants like Facebook, Apple, and Google are secretive about their AI development. Google, despite its evasiveness, is a major AI player, having rebranded its research division as Google AI. AI drives significant product development and quality improvement, such as in machine translation. However, Google faces accusations of growing monopoly power and high lobbying activity in Brussels to influence policies. Critics like Barry Lynn warn of their increasing influence over daily lives and political discourse, calling for regulation to address their monopolies and potential 'data dictatorship'.
AI is key to innovations in mobility, particularly self-driving cars. Sertac Karaman at MIT discusses the capabilities of autonomous vehicles in mapping and localization but highlights the challenge of predicting human behavior. Current prototypes encounter glitches in real-world scenarios, making fully autonomous cars a distant future (10-30 years away). Driving involves complex social cues that are difficult for AI to program. This leads to ethical questions, addressed by Iyad Rahwan's 'moral machine' survey. In accident scenarios, autonomous cars, with their faster processing, can make 'better' judgments, but defining 'better' becomes complex when prioritizing lives based on factors like age, gender, or adherence to rules. Cultural differences in moral judgments are also evident in survey responses.
While driverless cars are not yet ready and ethical questions persist, AI holds immense potential for daily life, medicine, and mobility. However, beyond technical possibilities, humanity must determine the ultimate aim of AI's progress, as algorithms cannot answer this fundamental question.