June 23, 2023
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Architecture
What is the Future Role of Architects in the Age of AI and Data?
ArchDaily, 06/23/23. As the world grows more complex, architects face the challenge of translating society’s needs into sustainable solutions. Data-driven design and AI are transforming the industry, enabling user-oriented projects and involving a broader range of stakeholders. AI augments architects’ work, automating tasks while preserving their creativity. Architects will become orchestrators, managing processes and relationships throughout a project’s lifecycle. Embracing data and AI empowers architects to tackle society’s challenges and shape a better future for our built environment. READ THE ARTICLE
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Travel
Study: Hotel guests are most accepting of AI technology with perceived benefits
Houston Public Media, 06/23/23. The University of Houston conducted a study on AI technology in hotels, finding that guests are most receptive to it when they perceive ethics and benefits. This technology provides convenience for travelers who want a frictionless experience. According to a report from PwC, AI could contribute nearly $16 trillion to the global economy by 2030. However, consumers have concerns about data security and appreciate transparency and accountability. Various applications of AI are already being used in the hotel industry, such as improving reservations handling. The goal is to offer consumers enticing benefits to secure their stay. READ THE ARTICLE
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Training
Six skills you need to become an AI prompt engineer
ZDNET, 06/23/23. Prompt engineering is an enticing career path with high-paying jobs and diverse skill requirements. To excel in this field, one must possess a blend of AI, programming, language, problem-solving, and artistic abilities. Understanding AI, ML, and NLP is crucial, along with the skill to articulate clear problem statements and queries. Creativity, conversational skills, and domain expertise play a significant role, as does scripting and programming proficiency. Patience and a sense of humor are essential for working with generative AI systems. Practical experience and hands-on projects are key to success in prompt engineering. READ THE ARTICLE
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Jobs
Companies That Replace People with AI Will Get Left Behind
Harvard Business Review, 06/23/23. The rapid adoption of artificial intelligence (AI) poses short-term job displacement risks, but long-term unemployment is unlikely. Historical transitions like electricity and computing took time, allowing for adjustments and new job creation. Mitigating the risk requires government intervention or companies innovating with AI to create new value and empower employees. Boldness and a startup mentality are key. Adobe, Nvidia, Open AI, and Amazon exemplify success through aggressive investment and embracing new possibilities. Harnessing AI’s power is crucial for collective achievement and progress. READ THE ARTICLE
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Open Source
Open source licenses need to leave the 1980s and evolve to deal with AI
The Register, 06/23/23. The combination of free software and open source licenses, originally designed for code, needs to evolve to accommodate AI models and datasets. Current licenses do not fit well with the large language models and neural nets that power AI’s open source software. The legal implications are real, as seen in lawsuits like “J. Doe 1 et al vs GitHub”. AI-generated code and datasets raise questions about contract and copyright laws. The open source community must find new ways to license these artifacts that align with their objectives. It is crucial for the tech community to define open source AI principles to address the challenges and navigate this complex intersection. READ THE ARTICLE
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Limitations
On Technology: The Achilles Heel Of AI That No One Is Talking About
Forbes, 06/23/23. Artificial Intelligence (AI) is currently the buzzword in the tech industry, with numerous startups and investors pouring billions into its development. However, there seems to be one significant challenge that is being overlooked – data. AI relies on quality data to perform its tasks effectively, but unfortunately, most businesses have data that is incomplete, outdated, or unreliable. This undermines the potential of AI tools and raises questions about their ability to automate functions successfully. Software developers need to address this issue and ensure that their AI tools can validate data from multiple sources before taking action. READ THE ARTICLE
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Limitations
When AI bots pose as humans
TechCrunch, 06/23/23. This week’s tech news highlights the challenges and opportunities surrounding artificial intelligence (AI), transportation, hacking, and fintech. AI training data is a crucial factor in its success, but issues like unreliable datasets and the use of AI tools by human workers can impact the output. In transportation, safety concerns and advancements like battery manufacturing breakthroughs are prominent. Hackers continue to pose threats, while startups aim to tackle cybersecurity issues. Fintech remains a hot industry for investment due to its potential and cash flow. It’s an ever-evolving tech landscape with both risks and rewards. READ THE ARTICLE