Your AI may rat you out? Forced disclosure?
https://search.informit.org/doi/abs/10.3316/informit.T2026090900007000402386869
How AI tools are quietly undermining legal professional privilege
Legal professional privilege protects confidential communications between lawyers and their clients from compelled disclosure. Its preservation has long depended on the maintenance of confidentiality. However, in an environment where legal advice is increasingly processed through cloud-based systems and generative artificial intelligence (AI) tools, that foundational assumption is under strain. Sensitive legal material is routinely uploaded, analysed and reshaped through internet-based services operating on third-party infrastructure and governed by standard form terms of use. In that context, the boundary between confidential communication and disclosure to a third party is becoming increasingly difficult to define.
(Related)
https://search.informit.org/doi/abs/10.3316/informit.T2026091000001901327704026
Corporate responsibility and directors' duties in the era of artificial intelligence
The public emergence of generative AI ('Gen AI') in late 2022 has had, and continues to have, profound effects across the board but its value, efficacy and impact may vary between different contexts. Corporations, directors and officers are subject to important and onerous statutory responsibilities. This article explores some of the challenges and implications of the emergence and availability of Gen AI for corporate and director/officer responsibility, including whether AI bots could be liable as shadow directors, the impact of AI on the way directors fulfil their duty of care and diligence, and the effect of AI participation and transcription in boardrooms.
AI as an almost person?
https://helda.helsinki.fi/items/9b63c7ed-32e3-47ef-b850-b26ebc502ee4
Built, Not Born: Legal Personhood for Artificial Intelligence Through the History of the Corporation, 1600–1897
Legal personhood has never tracked biology, it is a bundle of legal incidents the law confers on whatever entity practical need requires it to hold to account. Whether that logic should extend to artificial intelligence is the question this thesis answers, narrowly. Reconstructing how the business corporation acquired that status across four jurisdictions, the thesis shows that corporate personhood was assembled piece by piece to perform functions, its safeguards arriving late, decades after the privileges they were meant to discipline. AI is structurally analogous, yet the difference is institutional, a question of where responsibility can settle. What AI lacks is what the corporation supplies: a single constituted locus in which agency, records, assets, and continuity already cohere. The thesis proposes an attributive personhood, defined by institutional attribution and recognised only where existing mechanisms leave a residual gap. The corporate person was built, not born; an AI person, if recognised at all, must be built more deliberately still.
Who are we negotiating with?
Iran hardliners said to have launched attacks in defiance of leaders, sabotaging peace deal
A group of Iranian hardliners launched attacks on ships in Hormuz without the knowledge of Iranian leaders or even the head of the Islamic Revolutionary Guard Corps in early July, effectively bringing an end to peace efforts between Iran and the US, the New York Times reports.
The report, citing Iranian officials, details how Iranian president Masoud Pezeshkian was surprised by the attack and angrily called IRGC chief Gen. Ahmad Vahidi, who told him that he neither authorized nor had prior knowledge of the strikes.
The report says that the Supreme National Security Council also had no knowledge of the strikes, which provoked a US response and ultimately derailed a Memorandum of Understanding between Tehran and Washington aimed at ending the war.
Tools & Techniques. Try yourself…
https://pogowasright.org/peoplefinders-new-website-runs-background-checks-on-your-dates/
PeopleFinders’ New Website Runs Background Checks on Your Dates
Jason Parham reports:
We’ve all been there. You meet someone new on a dating app, start to envision a life together, only to wonder: Is the person actually who they say they are?
It’s an experience that has led many singles, sometimes out of concern or just genuine curiosity, to prescreen dates by tracing their digital footprint: scanning social media posts, browsing their LinkedIn profile for clues.
The platform Stud or Dud—not to be confused with stud’s use as a slang term for a masculine-presenting Black lesbian—wants to introduce even more transparency into that part of the dating process. According to its website, the platform uses “public records, publicly available information, and other permitted sources” to create a profile of your potential match. It launched today in the US and was created by the company behind PeopleFinders.com, the online data broker service that collects public records from multiple sources and makes them searchable to help clients locate individuals or run background reports.
Read more at WIRED.
