Predictive analytics are being developed and deployed at an unprecedented pace and scale, including in developing countries that are still in the midst of their own digital revolutions. Yet, for all the promise that these technologies hold, many risks have yet to receive the attention they deserve.
RIO DE JANEIRO – Recent months may well be remembered as the moment when predictive artificial intelligence went mainstream. While prediction algorithms have been in use for decades, the release of applications such as OpenAI’s ChatGPT3 – and its rapid integration with Microsoft’s Bing search engine – may have unleashed the floodgates when it comes to user-friendly AI. Within weeks of ChatGPT3’s release, it had already attracted 100 million monthly users, many of whom have doubtless already experienced its dark side – from insults and threats to disinformation and a demonstrated ability to write malicious code.
RIO DE JANEIRO – Recent months may well be remembered as the moment when predictive artificial intelligence went mainstream. While prediction algorithms have been in use for decades, the release of applications such as OpenAI’s ChatGPT3 – and its rapid integration with Microsoft’s Bing search engine – may have unleashed the floodgates when it comes to user-friendly AI. Within weeks of ChatGPT3’s release, it had already attracted 100 million monthly users, many of whom have doubtless already experienced its dark side – from insults and threats to disinformation and a demonstrated ability to write malicious code.