Teaching Data Science Research Methods to Human Resources Practitioners: Part Three
How we took advantage of students' expertise in the application domain component of data science.
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AI in the Public Interest: Education and Democracy
Now is a critical time to vigorously pursue public interests in education and to avoid a slippery slide into yielding public governance to an entirely private market view of how AI should be made available to students, teachers, and educational institutions. We need to strengthen governance of public data and more strongly shape the market for AI in education.
Why Businesses Must Untether Deep Learning
Deep learning only took a few years to make the leap from another theoretical piece of future-tech to a very real tool that's already making an impact on the business world.
GPT-4’s Successes, and GPT-4’s Failures
How GPT-4 fits into the larger tapestry of the quest for artificial general intelligence.
Teaching Data Science Research Methods to Human Resources Practitioners: Part Two
"When I heard we will be learning Python, I became anxious."
Cybersecurity Mistakes to Avoid at All Costs
Preventing unauthorized access or misuse of confidential data.
Twiddler: Configurability for Me, but Not for Thee
Online platform businesses have a distinctly more abusive and sinister character than brick-and-mortar retail chains.
Enabling AI Projects In An Enterprise
Identifying the development behaviors that have the highest chance of success for artificial intelligence efforts.
Serendipity: When Research in One Area Leads to a Positive Result in Another
A problem of the extremely optimal family of circulant graphs: when research in one scientific field gives an unexpected result in another.
Teaching Data Science Research Methods to Human Resources Practitioners — Part One
The challenge was to teach data science concepts to students who have gaps in their computer science background and are experts in human resources management and practice.
Using GitHub CoPilot is Like Having a Superpower
With the advent of Large Language Models (LLMs) and tools like GitHub CoPilot, I think we’re a step closer towards a world where software can be created by anyone. In fact, my colleague Brad Myers, who has investigated end-user programming for decades, believes that CoPilot is the biggest change to programming since Google search. I think this may be understating things. We’re going to see a wave of new kinds of software programming tools based on LLMs, and they will be transformative in how developers build and evaluate computer systems.
Three to five years from now, we won’t be talking about what ChatGPT can or can’t do, but we could be talking about how ChatGPT brought us all together, and the intellectual culture of the university began to shift.
In a single-author text (such as this one), we can assume a lot about the process. In the multi-author case, all these assumptions start to break down.
The Need For Combined Data And Analytic Governance
Numbers don't mean anything if people don't understand, or trust, the computation behind them.
Why Data Security Is An Issue For Business Phone Systems In 2023
A discussion of the most common phone scams, how they work, and how to protect yourself from them.
ChatGPT in Computer Science Education
Asked "How will ChatGPT influence computer science education?" teachers barely addressed the threats it poses.
Evaluating Research Results for Practical Applications
The role of the application of research results in assessing the achievements of scientists.
Large Language Models like ChatGPT say The Darnedest Things
ChatGPT makes the same kinds of mistakes its predecessors did. What can and should we do about it?
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