May 19, 2023

  • Coding

    How generative A.I. and low-code are speeding up innovation

    CNBC, 05/19/23. Generative AI and low-code software when combined accelerate innovation dramatically. Low-code development simplifies application building with visual tools while AI enhances capabilities. Despite challenges in change management, this convergence offers faster innovation. Closed-loop models trained on proprietary data can further enhance generative AI. READ THE ARTICLE

  • Tools

    Many AI tools are a distraction, but you’d better pay attention

    Washington Post, 05/19/23. The workplace is witnessing a surge in AI-integrated tools, with companies like OpenAI, Microsoft, and Google introducing features aimed at improving productivity. Generative AI and video communication tools like Google’s Project Starline are gaining popularity. However, workers must adapt and learn new skills to stay relevant. READ THE ARTICLE

  • Fear

    Demonized inventions: From railroads to AI

    DW, 05/19/23. Technological advancements are polarizing, often met with skepticism and criticism. Concerns arise from complexity, fear of loss of control, and lack of understanding. However, skepticism doesn’t imply a general fear of technology. Historical examples like the railroad and nuclear energy show initial opposition that later evolved. The AI debate reflects a fine line between skepticism and support. Rational concerns are valuable for shaping future developments. READ THE ARTICLE

  • Creativity

    Will AI Kill Human Creativity? What Fake Drake Tells Us About What’s Ahead

    Forbes, 05/19/23. Recent developments in AI-generated music have raised concerns about the future of the creative class. Examples include AI imitating Drake’s style and using the voices of Paul McCartney and John Lennon. AI’s potential to replace artists and diminish their bargaining power is highlighted. The Hollywood writers’ strike exemplifies the ongoing “creative class wars.” The article emphasizes the need for updated intellectual property laws and forward-looking leadership to preserve human creativity in the face of AI’s encroachment. READ THE ARTICLE

  • Trust

    Procedural justice can address generative AI’s trust/legitimacy problem

    TechCrunch, 05/19/23. Trust and transparency are critical in AI development. Adopting a procedural justice approach can help. AI companies build trust through unbiased decision-making, respect, giving voice, and conveying trustworthy motives. It will also help to hire multidisciplinary teams, seek external input, enable user feedback, and ensure transparency. READ THE ARTICLE

  • Enterprise

    Generative AI Pilots Have Companies Reaching for the Guardrails

    The Wall Street Journal, 05/19/23. Businesses are turning to in-house solutions and vendors to mitigate risks associated with AI technologies like ChatGPT. Generative AI has transformative potential but raises concerns about data exposure and cyberattacks. Companies like Apple, JPMorgan Chase, and Verizon have restricted employee use of ChatGPT. Startups like CalypsoAI and Arthur AI offer tools to protect data while utilizing generative AI. Balancing risks, organizations are eager to deploy large-language models, prioritizing data security. READ THE ARTICLE

  • Healthcare

    AI and Edge Computing Detect Disease for Real-Time Diagnosis

    Psychology Today, 05/19/23. UC Santa Cruz researchers have created an AI deep learning system that can identify diseases in real time with 99.8% accuracy. Operating on a Google edge-computing device, the system’s neural network model has few parameters, enabling high-resolution event detection on smaller devices. It offers rapid point-of-care pathogen detection, with potential for ultra-fast diagnostic devices. The technology has broad applications in medicine and diagnostics. READ THE ARTICLE