The impact of AI on jobs is a topic of concern and debate. While some reports predict significant job losses, others suggest that AI will create more jobs than it eliminates. According to a report by the World Economic Forum, 83 million jobs will be lost over the next five years due to AI and other economic drivers, but this will also create 69 million jobs, with AI and sustainability growing the fastest. According to Accenture, an estimated 40% of all working hours could be impacted by AI large language models. 

AI genuinely had a chance to make significant strides to improve the global economy, social justice, health, governance, world peace, and human well-being . . . until it didn’t.

Two years ago today, we awoke to the marvels of generative AI. Over that time, we have come to understand that along with the many marvels, come many risks. Time and again, we are slowing our enthusiasm with new insights into the necessity of keeping humans in the loop of AI performance. Relying on the benefits of this probabilistic computational tool calls for the exercise of human learning, experiences, discretion, and intuition. Accepting AI output at face value as the final authority in the absence of human judgment can lead to unintended and unfortunate outcomes.

AI is rapidly changing the educational landscape, offering a range of tools and applications that can enhance learning for students of all ages. Key use cases and applications of AI in education, from K-12 through postgraduate programs have shown significant value. 

Australia is actively embracing the potential of AI, with a rapidly growing ecosystem of startups, research institutions, and established businesses exploring its application across various sectors. The government has also recognized the strategic importance of AI, outlining initiatives to support its development and adoption. However, the legal landscape surrounding AI is still evolving, posing both opportunities and challenges for its practical implementation. 

In business, crises are inevitable. They range from natural disasters and public health emergencies to repetitional crises. The ability to effectively manage these crises is a crucial competency for any organization. This article outlines the key principles and practices of crisis communication and management, providing practical insights for management professionals.

Our Guardrail Code Analyzer™ consists of a variety of modules designed to be flexibly deployed to mitigate the risks specific to your usage of AI and source code.  The modules provide data about your source code ingredients, the potential risks and where code elements may have come from.  We enable this process by collecting, analyzing, and presenting information to humans such that they can make informed decisions about the risk you face.

Emerging regulations seek to establish a framework of trust and transparency so that people and companies can leverage AI to their greatest advantage without compromising our autonomy or right to privacy.

Algorithms and technology underpin all aspects of an organization. They can be involved in executing, approving, or facilitating transactions that have a financial impact, making them intrinsically connected to a business’ financial health.

Upskilling enables employees to adapt and thrive in the evolving job market.  Implementing AI responsibly requires the intervention of humans at key points in the AI workflow.  It is through the dual effort of humans and AI technology that this newest tech revolution will prove its greatest gains.

By becoming a detective of AI outputs, you're not just passively consuming information, you're actively engaging with the technology. This empowers you to make informed decisions and get the most out of the amazing world of GenAI.