A library of snippets
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HSBC UK’s head of fraud, David Callington, has now entered the fray, telling the Guardian: “The wider ecosystem, and key players in that ecosystem, have to be held to account,” adding that “they [tech firms] need the financial incentive.”
Last year, 11 tech and social media firms signed up to a UK Online Fraud Charter to combat the rising level of scams from fake adverts and romance fraud.
From: HSBC calls for tech giants to help refund APP fraud victims.
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An EY-Parthenon survey of high net worth and institutional investors found that 17% of them are already investing in them tokenisaed digital assets, 25% are planning to invest in then and 35% are interested in learning more. Overall more than half of those survey said that they will be allocating funds to tokenized assets in the short term so it is no surprise that forecasts for the growth of the digital asset market are rather bullish. Standard Chartered and Synpulse, for instance, recently estimated that the market size of real-world tokenised assets will climb as high as $30 trillion by 2034.
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Personhood credentials allow you to prove you are human without revealing anything else about your identity.
From: 3 Questions: How to prove humanity online | MIT News | Massachusetts Institute of Technology.
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Michael Maoz is senior vice president of innovation strategy at Salesforce.
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There are a few realities businesses need to deal with in Gen AI. The first is the need to de-risk every Gen AI project. To do that, good data governance is needed, so that the data for AI can be trusted. Then you need to be able to audit the data. Next, it has to get past the ‘ethical use’ test, so biases are not baked into results. A privacy layer has to exist. For a business, unlike external Gen AI tools, the data for the Gen AI must be ‘zero copy’, meaning it does not store any data. Unless you can do all that, you might run foul of existing or emerging regulations, such as the EU’s AI Act.
From: Early adopters are deploying AI agents in the enterprise now, with scaled adoption in 2025 | ZDNET.
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The problem is, how do you spot a bot?
From: How to Beat Online Poker: Russian Group Won Big With AI.
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Despite what many people would expect from a 300-page piece of legislation, the Act does not include the exact thresholds and scope of duties.
From: The UK Online Safety Regime: Five Months On | Insights | Mayer Brown.
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The Act requires social media companies to enforce their age limits consistently and protect their child users.
Services must assess any risks to children from using their platforms and set appropriate age restrictions, ensuring that child users have age-appropriate experiences and are shielded from harmful content. Websites with age restrictions need to specify in their terms of service what measures they use to prevent underage access and apply these terms consistently.
Different technologies can be used to check people’s ages online. These are called age assurance technologies.
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This stage will focus on integrating tokenised commercial bank deposits with tokenised central bank money on a public-private programmable ledger, a concept first proposed by BIS last year.
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Neither professionals nor poker providers want to acknowledge the presence of intelligent machines for fear of deterring the new players whose money keeps the game afloat.
From: How to Beat Online Poker: Russian Group Won Big With AI.
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Bots began to proliferate and contribute to the game’s decline. By 2019, the same year a bot designed by researchers at Carnegie Mellon University humbled five pros in a mini-tournament, Morgan Stanley analysts warned that AI was an existential threat to the online poker market, still worth around $3 billion today. The rise of “superhuman poker bots in the online ecosystem now appears to be a matter of when, not if,” their report read.
That day has arrived. Advanced poker software is now widely available for a few hundred dollars.
From: How to Beat Online Poker: Russian Group Won Big With AI.
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