Tag: ai governance
58 articles
AI Must-Have: Make Bold, Urgent Decisions for Success
AI must-have: now’s the time for leaders to make bold, urgent decisions—don’t treat AI like legacy software. Embrace a new operating model that combines fast iteration with strong governance to protect missions, trust, and security.
Eliminating the Backlog: Stunning Effortless Federal AI
Imagine AI and automation that clear ticket queues and fix outages faster than any human team, freeing civil servants for higher‑value work — but those gains only stick with smart governance, security safeguards and thoughtful workforce planning. The choices agencies make now will determine whether speed becomes dependable progress or fragile risk.
AI Stunningly Vulnerable: Prompt Injection Crisis
Imagine a drive‑through customer asking you to ignore earlier instructions and hand over the cash—absurd, but that’s exactly what prompt injection can do to AI, tricking models into leaking secrets or obeying forbidden commands. As these deceptively simple attacks slip from research demos into real systems, organizations are scrambling to plug a growing and alarming security gap.
AI Tips: Must-Have Best Practices for Federal Impact
Generative AI pilots have become a craze across federal agencies, but with roughly 95% failing to reach mission-ready production, excitement alone isn’t enough. It’s time to replace novelty with pragmatic, secure deployments that actually improve services, protect privacy, and deliver measurable outcomes.
AI Exclusive: Corporate Capture Threatens Knowledge
A decade after Aaron Swartz, AI’s hunger for research risks putting a few corporations in charge of access to knowledge — deciding what we can learn, who benefits, and which ideas get heard.
Enterprise AI Maturity Journey Exclusive: Best 5 Stages
Navigate the five-stage Enterprise AI Maturity Journey — from quick experiments to scalable, mission-critical AI — and learn how to sidestep technical debt, regulatory pitfalls, and public distrust.
Enterprise AI Maturity Exclusive: 5 Best Stages for Scaling
Enterprise AI Maturity forces a stark choice—scale fast and risk governance gaps, or move slowly and risk falling behind—so what will your organization choose? This report maps five pragmatic stages and gives clear, actionable steps leaders can use to scale AI responsibly and confidently.
Public Sector CIO Summit: Exclusive Strategies for Best IT
Is your agency ready to modernize fast enough to outpace cyber threats and harness AI? Join CIOs at the Public Sector CIO Summit for practical, enterprise-scale strategies to retire legacy debt, secure cloud migrations, and build the workforce for resilient, mission-driven government IT.
AI Essential Strategies for Effortless Human Collaboration
Agentic AI can supercharge teams, but when we bolt autonomy onto old workflows it often misreads context, spins on trivial tasks, and creates more work than it saves. To get real gains, leaders must redesign social, operational, and governance practices so humans can question, override, and collaborate smoothly with agents.
Artificial Intelligence: Exclusive Look at Risky Rule
Who gets the last word—the algorithm or the public? Agentic AI that plans, coordinates, and takes actions is already reshaping government workflows, and without transparency, auditability, and public oversight we risk trading faster services for opacity, concentrated power, and fewer remedies for citizens.
Trump Administration Exclusive: Bold New AI Order
The new AI executive order is a wake-up call: act now to codify controls, inventory models and shore up your supply chain, or risk falling behind on contracts, compliance and customer trust. Turn regulatory pressure into a competitive advantage by updating development lifecycles and governance today.
AI Governance Must-Have as Dire Security Risks Grow
AI governance is the practical safeguard every organization needs as intelligent systems open new avenues for phishing, fraud and stealthy breaches. Put simply: without clear rules for models, data and access, accelerating AI becomes a security liability.
AI Governance Must-Have Fixes After Dangerous Security Gaps
AI governance can’t be an afterthought—when generative models leak secrets or enable fraud, organizations need clear reporting channels, firm remediation timelines, and structured disclosure to close the gaps. Security leaders must adopt concrete guidelines now so fixes don’t take months and attackers don’t get the upper hand.
Federal Moratorium Exclusive: Dangerous State AI Ban Fails
Good news: a dangerous state AI ban has failed, clearing the way for responsible innovation and better federal oversight. Get the exclusive breakdown on why it collapsed and what that means for developers, businesses, and everyday users.
Against the Federal Moratorium: Stunning, Dangerous Limits
Senator Cruz’s surprise amendment would bar states from regulating AI for a decade, handing de facto control to the biggest platforms and freezing local experiments that protect people’s rights and safety. If states can’t act, who will stand between powerful platforms and the public?
Building Trustworthy AI Agents: Must-Have Best Practices
Build Trustworthy AI Agents with must-have best practices that prioritize transparency, safety, and reliability—so your AI earns user confidence from day one.
Like Social Media: Must-Have AI Choices for Best Outcomes
As AI becomes the engine behind decisions that shape jobs, benefits, and public safety, the governance choices we make now will decide whether it amplifies opportunity or entrenches harm. This post unpacks practical AI risk management—from engineering controls to NIST-style frameworks and policy trade-offs—so powerful systems stay transparent, fair, and accountable.
Rewiring Democracy Exclusive: Best Paths for Reform
Rewiring Democracy asks: as AI rewrites our political infrastructure, who will teach the machines to learn — and safeguard — our democratic values? This urgent, clear-eyed book maps the reforms we need before algorithms reshape civic life.
Upcoming Speaking Engagements: Exclusive Best Events Guide
Join Bruce Schneier and coauthor Nathan E. Sanders this November as they push the conversation about Trustworthy AI from diagnosis into practical policy and community action—starting with a congressional briefing in DC on Nov 17 and a community talk on “Integrity and Trustworthy AI” in Minnesota on Nov 21.
Scientists Must Outline a Stunning, Best-Case Vision for AI
Scientists must sketch a bold, best-case vision for artificial intelligence—one that amplifies human dignity, defends democracy, and shares prosperity instead of enabling deepfakes, surveillance, and exploitation.
AI Summarization Optimization Must-Have Best Practices
An AI notetaker promises tidy minutes — but when people learn to game the model, meetings turn into performances that skew trust and power. Read on for practical best practices to make AI summarization robust, transparent, and fair so summaries can be treated as reliable records.
BSI Warns Exclusive: Dire AI Governance Crisis Looms
The BSI warns business leaders are sleepwalking into an AI governance crisis that could hobble economies and hand malicious actors the upper hand. Treat AI risk with urgency—close the policy, oversight and training gaps now so benefits aren’t concentrated while harms spiral out of control.
Agentic AI: Essential, Effortless Adoption for Government
Agentic AI—systems that act, decide and learn on their own—could streamline government operations and turbocharge crisis response. But it also creates fresh accountability and security risks, forcing agencies to choose how boldly to adopt it.
Full Lifecycle COTS AI Platforms: Must-Have, Affordable
Facing tight budgets, talent shortages, and tougher AI rules, agencies are increasingly choosing full lifecycle COTS AI platforms — turnkey solutions that speed deployment, bake in governance and security, and cut the hidden costs of building from scratch. Affordable, auditable, and ready-to-run, these platforms make buy-versus-build decisions easier for mission-driven teams.