Organizations are increasingly exploring delegation of screening and negotiation tasks to AI systems, yet deployment in high-stakes B2B settings is constrained by governance: preventing unauthorized commitments, ensuring sufficient information before bargaining, and maintaining effective human oversight and auditability. Prior work on large language model negotiation largely emphasizes autonomous bargaining between agents and omits practical needs such as staged information gathering, explicit authorization boundaries, and systematic feedback integration. We propose GAIA, a governance-first framework for LLM-human agency in B2B negotiation and screening. GAIA defines three essential roles - Principal (human), Delegate (LLM agent), and Counterparty - with an optional Critic to enhance performance, and organizes interactions through three mechanisms: information-gated progression that separates screening from negotiation; dual feedback integration that combines AI critique with lightweight human corrections; and authorization boundaries with explicit escalation paths. Our contributions are fourfold: (1) a formal governance framework with three coordinated mechanisms and four safety invariants for delegation with bounded authorization; (2) information-gated progression via task-completeness tracking (TCI) and explicit state transitions that separate screening from commitment; (3) dual feedback integration that blends Critic suggestions with human oversight through parallel learning channels; and (4) a hybrid validation blueprint that combines automated protocol metrics with human judgment of outcomes and safety. By bridging theory and practice, GAIA offers a reproducible specification for safe, efficient, and accountable AI delegation that can be instantiated across procurement, real estate, and staffing workflows.

Multi-agent robotic systems (MARS) build upon multi-agent systems by integrating physical and task-related constraints, increasing the complexity of action execution and agent coordination. However, despite the availability of advanced multi-agent frameworks, their real-world deployment on robots remains limited, hindering the advancement of MARS research in practice. To bridge this gap, we conducted two studies to investigate performance trade-offs of hierarchical multi-agent frameworks in a simulated real-world multi-robot healthcare scenario. In Study 1, using CrewAI, we iteratively refine the system's knowledge base, to systematically identify and categorize coordination failures (e.g., tool access violations, lack of timely handling of failure reports) not resolvable by providing contextual knowledge alone. In Study 2, using AutoGen, we evaluate a redesigned bidirectional communication structure and further measure the trade-offs between reasoning and non-reasoning models operating within the same robotic team setting. Drawing from our empirical findings, we emphasize the tension between autonomy and stability and the importance of edge-case testing to improve system reliability and safety for future real-world deployment. Supplementary materials, including codes, task agent setup, trace outputs, and annotated examples of coordination failures and reasoning behaviors, are available at: https://byc-sophie.github.io/mas-to-mars/.

United States President Joe Biden has reportedly lifted restrictions on Kyiv on the use of long-range missiles, which means Ukrainian forces may fire American-made missiles inside Russian territory for the first time. The move, which comes weeks before Biden leaves office and hours after massive Russian missile and drone attacks, has angered the Kremlin, which accused Washington of "throwing oil on the fire". Kremlin spokesman Dmitry Peskov said the decision would mean Washington's direct involvement in the conflict, echoing a similar sentiment expressed by President Vladimir Putin in September. The White House and President-elect Donald Trump have not commented yet, but Trump's eldest son, Donald Trump Jr, said: "The military industrial complex seems to want to make sure they get World War III going before my father has a chance to create peace and save lives." The elder Trump, who takes office on January 20, repeatedly pledged during his campaign to negotiate an end to the Ukraine war.

Israeli drone attacks have reportedly killed two people in southern Lebanon as conflict spirals between the bordering states. The Israeli attack was the first lethal action following a rocket attack on Saturday that Israel says killed 12 children and youths in the Israeli-occupied Golan Heights. The strike has increased concern that the war in Gaza threatens to escalate into a regional conflict. Lebanese state media said one strike hit a motorcycle close to the border, killing two riders and injuring a child. Two others were injured in a separate strike in southern Lebanon.

Fox News contributor Dan Hoffman joined'America's Newsroom' to discuss the alleged attack and how Ukraine has responded in wake of the strike. A drone attack on the Kremlin earlier this month was most likely orchestrated by Ukraine, which has conducted a series of attacks on Russian targets, U.S. officials said. Russia has claimed Ukrainian forces attempted to kill President Vladimir Putin in the failed attack on May 3. Two drones were used in the "assassination attempt" at the president's residence within the Kremlin compound, but were disabled by Russian defense systems, Russia said. Russian President Vladimir Putin is seen on May 3, 2023. A drone was purportedly shot down over the Kremlin.

So, who fired two drones at the Kremlin in the wee hours of Wednesday morning, and what does the act say about the course of the war in Ukraine? The whole business is a mystery, and may remain so forever, except to those who did the deed. The two questions are, of course, related; the intended impact on the war depends on who launched the weapons. But there might also be separate impacts, depending on who the combatants think fired the shots. So, it may be worth scurrying down the rabbit holes of straight or madcap logic to examine the possibilities.

Claims adjusters make decisions every day--million-dollar decisions that have the potential to change a claimant's life. If anyone needs a second set of eyes--that helpful colleague with tons of experience and sharp attention to detail--it's claims adjusters. Here's the thing: even two of the best claims adjusters with 60 years of combined experience probably haven't seen everything (although they may be pretty close). Every day there are new cases and unseen factors that offer data about the best course for a particular claim. That's where augmented intelligence comes in.

Ukraine's drone strikes on two air bases deep inside Russia mark a new chapter in this war, but their significance--whether they escalate the conflict or alter the war's course in some other way--is unclear. Much depends on Moscow's reaction, and Kyiv's response to that, in the next several days. For now, it's worth probing some possibilities, though first let's lay out the implications of these strikes, regardless of their consequences. The strikes followed several days of massive Russian air and missile attacks on Ukrainian civilian targets, mainly power plants, shutting off heat and electricity as Ukraine's winter is getting brutal. The Russians launched those attacks from the airfields that the Ukrainians subsequently hit.

There has been a rapid increase in the adoption and development of artificial intelligence across the globe. Business platforms are depending on AI for better growth, efficiency, and digital transformation. Cutting-edge technologies like 5G will escalate the use cases of AI across industries. According to McKinsey Global Survey 2020, 50% of respondents reported that their companies have adopted AI in at least one business function. The global leaders in AI adoption, research, and development include Asian countries like China, Singapore, and Japan.

Digital health technology is playing a critical role in the Covid-19 public health crisis by helping support patient-provider connection across the care continuum. Since the pandemic started back in March, clinicians have seen many patients with potential symptoms looking for care. It's an uncertain and scary time, especially for those who are at risk and may be infected; but, hospitals and health systems are continuing to implement new processes to help patients and their families receive personalized care in real-time. The healthcare industry overall is looking to technology to help engage patients and their families to take a more active role in their own healthcare. Let's take a closer look at the top three technologies that will continue to play a major role in fighting this pandemic, as the industry prepares for a potential second wave.