Artificial Intelligence is, in the collective imagination, as much a bearer of hopes and wonders as it is of fears and interrogations. Like any new technology, it goes through a necessary phase of acceptance where it is observed, questioned, and sometimes rejected. AI represents a wealth of opportunity to improve people’s welfare worldwide.

AI for Society: examples of current applications

AI contributes in many ways to the improvement of citizens’ livelihoods. The following examples are just a glimpse of the almost unlimited possibilities that AI offers us. HI Paris will address all possible impacts of AI and data science on society and the economy in order to develop a sense of trust and accompany the people in the appropriation of these new technologies.

Health

AI is already widely used in the search for innovative vaccines and drugs or in decision support, notably through the analysis of medical images or the large-scale analysis of the response to treatments.

Energy 

To achieve the energy transition and to develop new and greener energies, AI can accelerate R&D and is already at work to optimize electricity consumption, re-use heat from data centers, design low-energy buildings…

Interactions 

Intelligent agents, purely conversational or embedded in robots, are flourishing along with automatic language analysis. Their uses will be infinite, from accompanying a customer’s journey to driving assistance for the elderly.

Live together

In the smart city of tomorrow, energy, transportation and waste management will be regulated to make the city more welcoming, eco-responsible and safe.

Surveillance

Automatic surveillance, particularly thanks to facial recognition, and biometrics in general, is becoming widespread and can be effective, but also very intrusive.

Justice & Equity 

LegalTech offers relevant analyses of extensive bodies of judgments, rulings and case law. It may also have led to wrongful convictions based on algorithmic biases.

Eyes-catcher 

AI works wonders in image processing: object recognition, generation of landscapes, digital art… and to create “deep fakes”, these hyper realistic fake videos.

Sensitive issues relating to personal data, individual liberties, bias, robustness, still pose great technical and ethical challenges to scientists.

AI for Society topics tackled by HI Paris

AI for good (Sustainable ICT, micro grids, climate…)
AI and Data ethics (Human vs machine decision, privacy, bias and fairness)
AI and Data technology (Robotics, Human-machine interface systems, Networks: Device to device, performance assessment)
AI and Data for scientific complex systems (for Environment, climate change and energies; Generative models for new material/drugs, decision-support systems)
Health (Health data Analytics, Health and Labor…)
Law (legal tech, privacy, predictive justice…)
• Regulation
Neuroscience (decision science, psychology, cognitive science)
Economic and social policy implications of AI & Data (inequality, labor markets…)