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Now Is the Time for Executives to Deploy Ethical Rules Around AI


For better or worse, AI is causing disruption in almost every field imaginable. Corporations around the world are embracing its possibilities to make work more efficient. The success of ChatGPT and other generative AI tools has also caught the attention of nearly every industry in an effort to meet profitability, efficiency, and sustainability goals. Money […]

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Author: Usman Shuja

Human-AI Collaboration: How AI Can Enhance Human Capabilities and Ethical Considerations


Artificial intelligence is here to change the world, and it is up to us to embrace this technology and use it responsibly to reap its full potential. Although critics have expressed some valid concerns about the potential harm that AI technology could bring about, fostering an AI-human collaboration can allow us to use this powerful […]

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Author: Ed Watal

Ask a Data Ethicist: What Data Is OK to Use to Prompt ChatGPT?


Millions of people are using ChatGPT on a regular basis to assist them in both personal and professional capacities. This month’s question centers on the data used to prompt ChatGPT.  Our reader, who shared that they are an ESL speaker, would like to know if it’s ethical to have ChatGPT create summaries of information (specifically, […]

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Author: Katrina Ingram

The Promise and Potential of Human-Like Generative AI Chatbots


They’ve passed SATs, graduate records exams, and medical licensing exams, and programmers have used them to solve obscure coding challenges in seconds. Undoubtedly, generative AI chatbots’ capabilities are astounding, but this doesn’t mean they get it right every time.  Despite their success in providing contextually relevant and, for the most part, accurate answers, can generative […]

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Author: Nate MacLeitch

Ask a Data Ethicist: Why Does Data Ethics Matter?


Whenever I give a talk, I always share how much I love Q&A. It’s a real joy to hear what people are curious about and provide resources or share insightful lived experiences as a consultant in the data ethics space. In this line of work, it’s usually not about having tidy, easy answers or the […]

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Author: Katrina Ingram

Generative AI Trends for 2024


It sometimes seems like generative AI (GenAI) is sweeping the business world. Not so. We remain in the hype cycle, with forward-thinking organizations refraining from full-blown rollouts for the foreseeable future. Caution is important; organizations that rapidly deploy generative AI integrations have already faced blowback in the form of lawsuits and investor scrutiny. To avoid […]

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Author: Brett Hansen

Responsible-First AI Governance: Addressing Ethical Concerns for Scalable Adoption


The world of artificial intelligence (AI) is evolving rapidly, bringing both immense potential and ethical challenges to the forefront. In this context, it is essential to remember that intelligence, when misused, can be graver than not having it at all. As AI technologies scale and become increasingly influential in various sectors, responsible governance becomes paramount […]

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Author: Rajsekhar Datta Roy

8 AI Technology and Trends That Are Steering Business Innovation


Welcome aboard the AI revolution – a transformative journey that’s redefining the business landscape. Whether you’re a seasoned entrepreneur or a startup visionary, understanding the AI trends that are steering this change is your ticket to future success. So, fasten your seatbelts; let’s focus on the AI innovations that are not just trends but necessities. […]

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Author: Chirag Leuva

Data Is Risky Business: Turning Abstract Ethics into Practical Practices
This quarter’s column draws on my keynote for DAMA Calgary’s contribution to DAMA Days Canada last month, which in turn drew on some of the content in the second edition of the “Data Ethics” book I wrote with my colleague Katherine O’Keefe (particularly, Chapter 3 and Chapter 11). My keynote looked at the thorny question […]


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Author: Daragh O Brien

Five Trends Shaping Enterprise Data Labeling for LLM Development


In an era where large language models (LLMs) are redefining AI digital interactions, the criticality of accurate, high-quality, and pertinent data labeling emerges as paramount. That means data labelers and the vendors overseeing them must seamlessly blend data quality with human expertise and ethical work practices. Crafting data repositories for LLMs requires diverse and domain-specific […]

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Author: Matthew McMullen

How Reducing Bias in AI Models Boosts Success


Artificial intelligence (AI) has the potential to revolutionize industries and improve decision-making processes, but it is not without challenges. One challenge is how to address the issue of bias in AI models to ensure fairness, equity, and satisfying outcomes. AI bias can arise from various sources, including training data, algorithm design, and human influence during […]

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Author: Mohan Krishna Mangamuri

AI Regulation Must Focus on Building Public Trust


Mere months after generative AI captured the world’s attention, leaders like OpenAI’s Sam Altman and Google’s Sundar Pichai testified before Congress with a simple message: Prioritize AI regulation before the technology gets out of hand. The message surprised many – especially coming from the leaders who unveiled the revolutionary tools themselves – but it has become […]

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Author: CF Su

Mitigate Real Risks: Create Ethical, Responsible AI


AI is everywhere, and it is growing. In a 2022 edition of an annual global AI survey, a leading consulting firm found that adoption among enterprises had more than doubled in five years, with about 50% of respondents using it in at least one business unit or function. Thirty-two percent of enterprises reported cost savings […]

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Author: Bali D.R.