- Pascal's Chatbot Q&As
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Archive
Teachers expressed strong confidence in their content and pedagogical knowledge, and many recognized AI’s potential to enhance personalized learning and student engagement.
However, technological knowledge—especially deep familiarity with AI’s capabilities—lagged behind. Ethical awareness was moderate, with some skepticism about AI’s fairness and transparency.
By late 2024, nearly 1 in 4 corporate press releases, almost 1 in 5 financial consumer complaints, and 14% of UN press releases were at least partially written by AI.
Recently founded companies were far more likely to use AI in job postings (15% v. <5% in older firms). Complaints written in areas with lower educational attainment had higher AI usage rates (20%).
Far from the early 2010s vision of Silicon Valley as a progressive, privacy-defending force, the recent developments show key tech companies actively enabling and expanding state power.
Particularly through Immigration and Customs Enforcement (ICE). The implications are vast: for civil liberties, democratic institutions, international relations and the global role of technology firms.
Although each document focuses on different aspects—government overreach, democratic backsliding, and public complicity—their commonalities are glaring: a steady erosion of constitutional protections
...increasing normalization of state violence, and a weakening of public resolve to confront injustice. The road to authoritarianism is paved by silence.
A class-action lawsuit alleging that Salesforce infringed copyrights by using a dataset of pirated books to train its LLMs, including the CodeGen, XGen, xGen-Sales, and xGen-Small series.
The plaintiffs claim their books were included in the Books3 corpus without permission, compensation, or consent, and that Salesforce willfully used these materials for commercial gain.
The Indian AI market has grown from USD 3.2 billion in 2020 to over USD 6 billion in 2024, and is expected to reach nearly USD 32 billion by 2031.
This expansion is fueled by rising demand for automation, personalized services, and decision-support tools across industries such as BFSI, healthcare, logistics, retail, and marketing.
As AI becomes more embedded in education, law, healthcare, and creativity, the metaphor of “machine intelligence” becomes a double-edged sword.
It seduces us into trust while shielding developers from responsibility. But if we walk hand-in-hand with our models through vector space we may yet preserve both our creativity and accountability.
Rather than building another chatbot, Oracle is constructing the reasoning fabric of tomorrow’s intelligent systems, rooted in trust, proximity to data, and real-world context.
The lesson for all stakeholders is simple: the future of AI belongs to those who combine intelligence with intent—and infrastructure with integrity.
Wiley have created a content enrichment and distribution platform alongside a suite of products to power the future and unlock the full potential of AI-driven research and enterprise innovation.
Learn more about the ecosystem connecting AI developers, publishers, institutions, and R&D teams through trusted, peer-reviewed content that powers reliable innovation.
The New York State Unified Court System (UCS) has introduced one of the most comprehensive and forward-looking interim policies for the use of AI within a government institution.
Other entities that handle sensitive data, depend on trust, or make consequential decisions should adopt similar AI governance frameworks.
If “everything is searchable,” then everything is stealable if adversaries or insiders reach the index: passwords briefly visible on screen, previews of legal docs, health results, private chats...
OS-wide AI monitoring creates a single, dense, forensically perfect dossier on each of us. In open societies, that dossier magnifies breach impact, employer overreach, and chilling effects.
GPT-4o: By prohibiting questions about how Anthropic obtained training datasets — including whether it engaged in torrenting or downloaded from shadow libraries — the court has erected a wall...
...that prevents plaintiffs from fully investigating one of the most critical aspects of AI model training: source provenance. This limits the ability to prove willful infringement.