The huge volume, variety, and velocity of big data have empowered Machine Learning (ML)
techniques and Artificial Intelligence (AI) systems. However, the vast portion of data used to …

With automation of routine decisions coupled with more intricate and complex information
architecture operating this automation, concerns are increasing about the trustworthiness of …

An open letter 1 to the Future of Life Institute has called on all AI labs to “immediately pause
for at least 6 months the training of AI systems more powerful than GPT-4”. The letter has …

AI researchers employ not only the scientific method, but also methodology from
mathematics and engineering. However, the use of the scientific method-specifically …

The debate on the ethics of Artificial Intelligence brought together different stakeholders
including but not limited to academics, policymakers, CEOs, activists, workers' …

Artificial intelligence (AI) research is routinely criticized for its real and potential impacts on
society, and we lack adequate institutional responses to this criticism and to the …

Artificial intelligence (AI) solutions and technologies are being increasingly adopted in smart
systems contexts; however, such technologies are concerned with ethical uncertainties …

With the growing need to regulate AI systems across a wide variety of application domains, a
new set of occupations has emerged in the industry. The so-called responsible Artificial …

The era of pervasive computing has resulted in countless devices that continuously monitor
users and their environment, generating an abundance of user behavioural data. Such data …

After working at Apple designing circuits and signal processing algorithms for products
including the first iPad, Timnit Gebru received her Ph. D. from the Stanford Artificial …