At an AI conference, Jeff Jarvis "knew I was in the right place when I heard AGI brought up and quickly dismissed... I call bullshit... large language models might prove to be a parlor trick". The rest of the conference focused on "frameworks for discussion of responsible use of AI".Benefits - for some, AI can:"raise the f…

companies have begun to self-regulate by trying to set up their own “AI ethics” initiatives ... led to a fragmented landscape of efforts ... not yet had demonstrable outcomes beyond igniting a debate ... these ethics boards and principles lacked teeth... Chinese companies are generally more concerned with solving real-world problems ... rather th…

Major tech corporations have launched AI “ethics” boards that not only lack diversity, but sometimes include powerful people with interests that don’t align with the ethics mission... Partnership on AI... by Google, Facebook, Amazon, IBM and Microsoft, does not appear to have black board members or staff ... a board dominated by men.. empty PR sp…

algorithmic systems don’t simply cost money to implement. They cost money to maintain. They cost money to audit. They cost money to evolve ... divert taxpayer money from direct services, to lining the pockets of for-profit entities under the illusion of helping people....a diversion of liability ... those in powerful positions blame the algorithms…

Over the coming years, we’ll see the BBC develop and roll-out more and more machine learning algorithms for storing, retrieving, tagging and possibly even creating content.... What if we lock our audiences in to what they just want to hear, never challenging them? ... Should the algorithms we use be open to public scrutiny?... inform our own thin…

I was particularly ashamed of the way that the AAA ratings, which were in some sense a mathematical promise of safety, had been actually just lies, mathematical lies... like a weaponized mathematics ... actually people don’t want to know what their actual risk ... mathematics ... was being used ... so that people could go on doing essentially corr…

trillions of dollars are spent on making the world technologically ‘smarter’ ... but very little is spent on getting humans ready for that future... We will need to decide, very soon, where humans end and machines start, and vice-versa- and this is an ethical question NOT a technological challenge.