Bringing AI into the boardroom, and using it more effectively to influence decision-making in the right places, could not only help improve trust in AI as a technology but also improve our relationship with Big Tech companies in general. Part two of two.
Making AI more ‘humble’ could not only help improve AI decision making, but could also help inspire more trust in the technology as a whole, and open the door for more useful and mission-critical applications in the future.
“It seems to me that it is really impossible that it could be me.” What can a conversation between a virtual Philip K Dick and Dr. Ben Goertzel, one of the world’s leading AI researchers, teach us about the playful nature of advanced AI development?
After recently announcing Equity and Inclusion teams to investigate racial bias across their platforms, and undergoing a global advertising boycott over alleged racial discrimination, is Facebook doing enough to tackle racial bias?
Covid-19 has forced business leaders to accept that automation will arrive earlier than expected. It is therefore timely, albeit in less-than-positive circumstances, to look at which type of companies will, and will not, thrive in the future.
The future of work is no longer merely a concept, but a reality — Covid-19 has made sure of that. The pandemic has accelerated workplace innovation across sectors to the point of no return, with contemporary businesses now almost entirely reliant on new technologies simply to exist.
In this final part of Silicon UK’s look at automation, we consider what the future holds for all enterprises. What should your business’s automation roadmap look like?
In the March 2020 issue of Digitalisation World magazine, Charles Towers-Clark, along with other experts, shares thoughts about what Artificial Intelligence has to offer to businesses and whether companies are fully engaged in making the best use of AI in their practices.
The “Wild West” of artificial intelligence (AI) needs to be reined in, according to EU industry commissioner Thierry Breton. However, regulating AI generally, rather than regulating the technology’s uses specifically, may very well be putting the cart before the horse.