The mom of all breaches has leaked 26 billion consumer data, Gen Z usually tend to fall for a phishing or different cyber rip-off, humanoid robots are making their method to BMW’s auto vegetation and perhaps we haven’t discovered a lot in a long time concerning the dangers of utilizing expertise within the justice system.
All this and extra on this “isn’t this privateness week” version of Hashtag Trending. I’m your host Jim Love, CIO of IT World Canada and TechNewsDay within the US.
Here’s a 90 second abstract for the podcast:
A large information breach referred to as the Mom of All Breaches has uncovered an astounding 26 billion consumer data. Cybersecurity researchers found the 12 terabyte leak which incorporates private data from previous breaches of web sites like LinkedIn, Twitter, and Tencent. Whereas some data are possible duplicates, billions seem like printed for the primary time.
The compiled information might permit cyber criminals to launch damaging phishing campaigns, id theft, and account takeovers. Information embrace names, passwords, cellphone numbers, addresses and different delicate particulars from 1000’s of breached databases. Governments had been additionally impacted.
Researchers aren’t positive who’s behind it however suspect a malicious actor given the massive scale. They warn customers who reuse passwords to vary them instantly. Different suggestions – use sturdy distinctive passwords, activate two-factor authentication, look ahead to phishing makes an attempt, and test in case your data was uncovered. With over 26 billion uncovered identities, the patron danger is very large.
If you’re within the apply of not having distinctive advanced passwords for every system you log into, with 26 billion data, chances are high there’s not less than one incidence of your favorite username and password.
Greatest apply. Use a special password for every system. Longer is healthier. Make them tough to guess.
Two issue authentication wherever you’ll be able to.
Sustain on cybersecurity information by following our sister podcast Cybersecurity At the moment with Howard Solomon. You will discover it on Google, Apple, Spotify – wherever you get your podcasts. Or at ITWorldCanada.com/podcasts.
Sources embrace: Cybernews.com
Opposite to expectations, Gen Z falls for on-line scams way more than older generations – 3 occasions greater than child boomers in line with a latest survey by Deloitte. The primary “digital native” era makes use of the web extensively throughout gadgets and platforms. However familiarity appears to breed complacency somewhat than warning.
Gen Z reported increased charges than boomers of phishing scams, id theft, romance fraud, and cyberbullying in Deloitte’s ballot. The comfort of staying completely logged into apps like Instagram makes safety friction unappealing. However consultants say reinforcing good habits needn’t restrict web use.
The sorts of scams goal the behaviours of Gen Z whether or not on-line purchasing, social media use or assembly folks nearly. In accordance with Social Catfish’s 2023 report, rip-off victims underneath age 20 misplaced an estimated $210 million final yr in comparison with simply $8.2 million in 2017 – because the era processes life on-line, extra publicity events extra danger. Nonetheless, higher design of platforms and privateness controls might scale back vulnerabilities.
Training centered on the incentives perpetuating scams could increase consciousness successfully for youth. Relatively than a selection between security and comfort, a custom-made, empowering method to on-line security serves Gen Z finest in line with advocates.
Apologies to my Canadian listeners. I feel that is one place the place the Canadian Zed doesn’t work.
Sources embrace: Vox
BMW is bringing in a brand new sort of autoworker – humanoid robots from an organization referred to as Determine. These 5 foot 6 machines can stroll, choose up objects with dexterous robotic arms, and take breaks to recharge.
It’s the first-time human-shaped robots will be part of auto manufacturing. Whereas roles are nonetheless being outlined, the robots’ mobility and suppleness are property for automation. Business analysts see it as a harbinger of accelerating robotization to counter labour prices.
The deal has an preliminary section figuring out purposes adopted by deployment at BMW’s South Carolina plant. Additional phases will discover how one can combine AI and different advances. Determine’s CEO says humanoids can deal with most duties folks can inside a number of years.
When auto producers are requested how they are going to pay for the latest contract will increase for auto employees, they’re saying – extra effectivity.
Actually, BMW sees effectivity and productiveness advantages from including these humanoid robots.
Warehouse robots are additionally rising and a few advanced jobs like automotive manufacturing stay a stretch at present. Nonetheless robotic functionality is advancing. At some point roles like gear restore in dangerous areas could shift and although mass alternative of people is a good distance off, these humanoid robots are a giant first step.
Sources embrace: Axios
A false facial recognition match led to a devastating injustice for Harvey Murphy Junior. Macy’s, the U.S. division retailer’s safety system incorrectly recognized him as an armed robber – leading to 10 days in jail.
Not solely was he falsely accused, however he was sexually assaulted whereas being held in detention.
The potential for these errors is understood. The expertise’s accuracy relies upon closely on picture high quality and database measurement. Regardless of police claims it’s solely an investigative lead, this case exhibits the injury achieved as soon as somebody is recognized as a felony.
It provides to comparable incidents the place incomplete proof paired with misplaced confidence in facial recognition tech, led officers to accuse harmless residents like Murphy. Whereas uncommon, the cases span race and gender.
The FTC lately sanctioned RiteAid for enforcement practices stemming from their software program’s mismatches. Nonetheless reputation grows amongst retailers like Macy’s searching for theft deterrence via instantaneous screening of in-store cameras.
Earlier than we blame this all on a brand new expertise, right here’s one other story that hit the air this week with an analogous theme.
A software program scandal has rocked Britain’s postal service. Bugs in a defective accounting system helped convict over 900 postal employees of theft from 1999 to 2015. Harmless workers went to jail or paid to cowl nonexistent shortfalls.
The code defects had been well-known by the builder, Fujitsu, and postal authorities from the beginning. However this stayed hidden from courts and employees’ attorneys.
93 verdicts have been overturned to date whereas victims await compensation. Fujitsu apologized this month for the injustice they enabled. Their govt admitted shameful, appalling concealment of exculpatory proof from prosecutors. The fiasco fuels outrage at personal prosecutions within the UK. Officers promise new legal guidelines to swiftly assist the falsely accused. However previous hurt haunts many victimized by speedy religion in flawed expertise.
Police must be on the lookout for corroborating proof earlier than costs are laid, however critics say that every little thing is stacked towards an accused particular person as soon as they’re introduced underneath suspicion.
And over the past 20 years, we nonetheless have points that must be resolved earlier than we let any algorithm or system be used with out heavy scrutiny.
The religion we appear to have in facial recognition and AI are simply another excuse to recollect the phrase justice must be blind, doesn’t imply it must be blind to the dangers of utilizing expertise.
Sources embrace: ArsTechnica and Washington Put up
Hashtag Trending goes to air 5 days every week with a day by day information present and each Saturday, we’ve an interview present referred to as the Weekend Version.
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I’m your host Jim Love, thanks for listening and have a Great Wednesday!
