Tech experts often thought artificial intelligence (AI), which had recently made headlines after ChatGPT launched in 2010, would soon become part of everyday life. Some techies, however, expressed concerns regarding potential negative aspects associated with its advancement; as a result, they signed petitions in protest of it being progressed further.
Bill Gates, co-founder of Microsoft, predicted that AI applications will become mainstream throughout developed world countries within 18-24 months.
Gates believes his work may have an unprecedented effect on productivity and innovation.
Gates recently wrote on his blog that artificial intelligence will bring unprecedented discoveries, in ways never seen before.
Charles Simonyi introduced me to my first graphical interface – an early precursor of Windows operating systems – back in 1980 and we quickly started discussing all its possibilities as Charles ultimately joined Microsoft; our discussion after seeing his demo helped shape its agenda over 15 years of operation.
Last year was when I experienced another great surprise from OpenAI team members. Since 2016, I had been meeting regularly and watching their steady development; mid-2022 was when they challenged themselves by setting an ambitious challenge: teaching an AI how to pass an Advanced Placement Biology examination without specific training; I chose this test specifically as it requires deep thinking rather than simply regurgitation of facts – this achievement would mark them out as real innovators! I believed AP Bio would mark them out as true pioneers if they can successfully pass it, which in itself would represent true breakthrough status if successful – truly groundbreaking breakthrough status would ensue and that breakthrough would represent true breakthrough status if accomplished – then they would truly represent true breakthrough status, I told you!
Gates’ letter highlights several uses for AI technology in education and disease fighting, such as:
Antimicrobial resistance, commonly referred to as resistance to antibiotics (AMR), is becoming an increasing global concern. Researchers from Ghana’s Aurum Institute are developing software which will quickly search vast amounts of data – including local guidelines and surveillance data regarding which pathogens in their region might develop resistance – in order to suggest suitable drugs with respect to dosage, duration and dosage frequency.
AI-powered personalized learning, such as Somanasi Tutoring Program in Nairobi. “Somanasi” was specifically created with Kenya’s cultural context in mind to make its use seem familiar for students using it.
As one woman dies during childbirth every two minutes globally, Armman is developing the “Copilot” software program for health workers in India to reduce risks during childbirth. Specifically targeted towards midwives and nurses working towards increasing odds for new mothers in India, the Copilot adjusts itself based on your level of experience as an aid worker.
Chatbots that assess HIV risk and act as nonjudgmental, impartial counselors 24/7 could prove particularly valuable to vulnerable and marginalized populations who might otherwise find it challenging to open up to doctors about their sexual histories.
Voice-activated mobile app for health workers allows health providers to respond directly to a prompt when visiting patients in the field, helping to fill gaps caused by “many individuals not possessing formal medical histories.
Gates places great emphasis on AI applications being created within each country to better reflect reality. Voice input was utilized when developing Pakistan Health Records app so as to emulate practice of sending voicemail messages instead of typing them manually.