As autonomous vehicle technology improves and gradually gets adopted, this should make roads safer and reduce accidents caused by human error, but as ever more conventional cars are replaced by AVs, this will give rise to whole new questions and concerns to be addressed, and which the world should start pondering now.
The Covid-19 pandemic has accelerated the shift to the provision of at-home healthcare, not just as telehealth but also AI-driven remote patient monitoring. This will not replace doctors and hospitals, but will reduce costs and ease the burden on medical professionals.
AI-based eye screening holds great promise as a way of spotting early signs of eye diseases and many other ailments that can cause eye disorders, enabling medical professionals to act early while these maladies are still treatable, for better patient outcomes and lower costs.
Given all the focus on the potential benefits of AI, its greenhouse gas emissions rarely get much attention. Reducing these emissions while using AI to help reduce discharges in other sectors will go far in making AI and other leading technologies more sustainable and eco-friendly.
The healthcare sector has been slow to embrace disruptive innovation and change, but as COVID-19 and aging populations strain healthcare systems ever more, healthtech and healthcare startups worldwide likely hold the solutions to making healthcare work better - if they can access the resources they need to grow and thrive.
Health apps have proliferated of late, partly due to the COVID-19 pandemic, but their quality and reliability is often uneven. Data security and user privacy laws have also lagged. Regulation must keep pace as health-tracking and other emerging technologies continue developing. Dr Rohitashva Agrawal wonders whether the world is up to the challenge.
Detecting heart disorders from electrocardiogram (ECG) signals is no easy task as noise often corrupts ECG signals. Dr Sara Moein presents different approaches for AI to serve cardiologists for more accurate, quicker heart disorder diagnoses.
The COVID-19 pandemic has hugely impacted the pace of AI innovation by accelerating existing trends and giving rise to new ones, thus raising the bar of possibility. Companies have also benefited from sharing their technology or expertise at no cost, aiding the fight against the pandemic and speeding vaccine development. Many of these trends will hold post-pandemic and reshape the global business terrain.
The EU has toiled in recent years to come up with a comprehensive framework to manage and regulate AI, while also promoting innovation and fostering trust and transparency, efforts bound to reverberate hugely not just in the bloc but in the whole world, and which may be a model for global AI regulation, if successful.