Category: How we work

Cultivating Quality Relationships through Leader-Member Exchange

Written by Aine Gallagher

“Leader Member Exchange (LMX) is a theory which focuses on the quality of the relationship between superior (leader) and subordinate (employee). The theory supports an ingroup, midgroup and outgroup. Employees within the ingroup may experience higher levels of LMX which is linked to increased confidence and positive relations; whilst outgroup interactions are characterised by low trust and minimal support.”

The Unsolvable Problem of AI Safety

Written by Shay Dalton

“Given that AI is not explainable, it is in turn necessarily unpredictable –– how can you predict the actions of something you don’t (and can’t) understand? As is already the case with black box AI, the term used to describe AI models that arrive at conclusions or decisions without providing any explanations as to how they were reached, we will be in the dark as to how AI achieved its aims and what it might do to achieve future ones.”

Combatting Cybersecurity Risks

Written by Shay Dalton

“Cybercrime is on the rise. Technological advancements paired with geopolitical instability have contributed to an increasingly fractious security environment. The cost of a cybercrime attack –– financially and reputationally –– can devastate a business. As such, greater precautions need to be taken. Businesses must decide whether they’re going to invest in their in-house cybersecurity unit or offset the duty to a third-party.”

How Does Smartphone Use Impact the Workplace?

Written by Shay Dalton

“It’s not just teenagers who are hooked on their smartphones. In a 2022 Gallup poll, nearly 60% of Americans said they used their phones too often. Meanwhile, people in Ireland spend an average of 4.5 hours on their phone a day. Only 10% of that time is spent talking to someone in a phone conversation. The rest is given over to scrolling. A lot of that scrolling takes place at work.”

Management in Times of Global Conflict

Written by Shay Dalton

“Leaders – even experienced leaders – have not had to deal with the level (and variety) of problems currently facing the world. On top of the conflicts and political unrest, which impact everything from supply chains to employee morale, there have been shifts in the level of engagement businesses are expected to make regarding social issues. Not engaging, or engaging in the wrong way, can quickly prove damaging, maybe even fatal, as many businesses have found out the hard way.”

Embracing Ambiguity: Leadership in the Liminal Space

Written by Aine Gallagher

“Leaders importantly must lead by example and embrace change demonstrating adaptability and resilience. By doing so this can encourage others to emulate this behaviour and may even prompt them to mirror their actions. Leaders can adapt to this period by highlighting and affirming to employees what will remain concrete and identifying the potential in what can be transformed to drive organisational change.”

Should Brands Weigh in on Social Issues?

Written by Shay Dalton

“Over the past decade, it’s become not just acceptable but expected that major brands will weigh in on the issue of the day. From Black Lives Matter to #MeToo through issues around gender identity and abortion, consumers wanted to know they were not giving their hard-earned cash to enterprises they deemed to be against their principles. For their part, brands were happy to play along, appeasing consumer desires and sometimes outright cashing in on them. All that changed on October 7th.”

The EU AI Act: What you Need to Know

Written by Shay Dalton

“The EU AI Act seeks to set a definitive definition of AI that is also broad enough to cover the diversity of AI’s current use-points and any potential future developments. As such, drawing from the OECD’s definition, the act describes an AI system as: “a machine-based system designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments.””