Inherent bias of AI models confirmed

🗞️ The Tech Issue | August 9, 2023

Author

Qamar Zia
August 09, 2023

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💡 New research jointly conducted by US and Chinese universities analyzed biases in various AI large language models (LLMs), which impact generative AI like ChatGPT. These LLMs lack access to complete human learning and opinions, making them inherently biased based on their programmed knowledge fraction. The study acknowledged limitations in tools like the Political Compass, which measures ideological bias but suffers from term definition discrepancies. Tests on 14 LLMs found ChatGPT and GPT-4 as a left-wing libertarian, while Meta's LLaMA was right-wing authoritarian. This highlights the pervasive nature of bias in AI and journalism, underscoring the need for transparency, especially as automation increases in tasks requiring judgment.

🗞️ Today’s Highlights:

  • EXECUTIVE — Google says AI systems should be able to mine publishers’ work unless companies opt o

  • THE LATEST — How Mars, Colgate-Palmolive, Nestle & Coca-Cola are Exploring Generative AI

  • QUESTIONS | OPINIONS — WARNING By Sam Harris

  • RESOURCES — Large Language Models (LLMs) in Focus

  • AI TOOLS — Mailivery: Land in the Inbox. Not the Spam Folder. Maximize Email Deliverability

  • INDUSTRY | FUNCTION — 10 Industries Being Revolutionized By AI and Automation Technologies

  • WORK — How to Future-Proof Your Tech Career in an AI & Automation World

🗞️ EXECUTIVE

⬛️ CB Insights introduced the GenAI 50, a compilation of the top 50 promising private generative AI firms globally. These companies are engaged in diverse areas such as foundational models, code creation, and AI assistants. The GenAI 50 includes winners focusing on specific industries like media animation and healthcare drug discovery, as well as those working on cross-industry solutions like AI assistants and code generation. The selection process involved evaluating factors like R&D, innovation, market potential, and industry impact. CB Insights clients have access to the complete list and related resources.

⬛️ Google proposes that AI systems should be allowed to mine publishers' content, but with an opt-out choice for publishers. This idea is part of Google's submission to an Australian AI regulation review. It aims to adjust copyright laws to allow AI data scraping while offering opt-outs. This could impact smaller content creators and reshape copyright norms. Google suggests a web standard similar to "robots.txt" for opting out. Discussions about AI payment for news scraping are ongoing. The Australian government is examining these issues in its AI regulation review.

⬛️ Y Combinator's Winter 2023 batch highlights AI startup trends, with 31% leveraging AI. Key observations include startups addressing specific problems for focused customers, integrating AI with existing software (e.g., Lightski with CRM), combining AI technologies like LLMs and computer vision, customizing LLMs based on users' data and style, creating innovative user interfaces (e.g., Type's document editor), and targeting high-information-volume, high-precision use cases (e.g., SPRX for R&D tax credit calculations). Notably, enterprise startups focus on BYOD solutions (e.g., CodeComplete). However, many startups lack strong moats, risking copying by larger players. Success hinges on differentiating through comprehensive products or broader offerings, amid the rapidly evolving AI startup landscape.

⬛️ Marketing automation employs software tools and technologies to automate repetitive marketing tasks, enhancing efficiency and personalizing experiences. It's widely adopted, with over 70% of companies using or planning to implement it. Emerging trends include AI-powered personalization for tailored experiences, omnichannel strategies for consistent interactions, and hyper-personalization with behavioral triggers. The future holds integration with CRM systems, expansion into voice and conversational marketing, and automation across various channels. Adapting to these changes is vital for marketers to optimize strategies and drive growth. Ubique Digital Solutions offers insights and solutions to harness the potential of marketing automation.

Source: Ubiquedigitalsolutions (What is Marketing Automation?)

🗞️ THE LATEST

Leading players such as Colgate-Palmolive, Nestlé, Mars, and Coca-Cola are adopting generative AI in a variety of innovative ways. Mars, for example, employs AI to predict pet health and optimize manufacturing processes, all while emphasizing ethical considerations. Colgate-Palmolive utilizes generative AI to create e-learning content and enhance marketing efforts. Nestlé and other CPGs utilize Tastewise, a platform facilitating the validation of new products. Coca-Cola pioneers OpenAI's technology for marketing and creativity, aiming to harness its potential across various aspects of its business operations.

Hugging Face is a collaborative platform for the machine learning community, focused on sharing open-source ML tools. NVIDIA, a pioneer in computing, has partnered with Hugging Face to connect its AI community with NVIDIA's computing platform, enabling AI advancements. Forward-looking statements in the text suggest potential differences in outcomes due to various factors.

Generative AI tools like ChatGPT offer potential for emerging markets by improving living standards, transparency, and reducing costs. They require public-private cooperation for full benefits. Challenges include limited broadband access and lagging AI readiness. Prioritizing AI preparation is crucial to avoid inequality, job disruption, and trust issues. Developed markets are already exploring AI's potential; emerging markets must act now.

🗞️ QUESTIONS | OPINIONS

Sam Harris on AI risks

Steven Bartlett sits down with philosopher, neuroscientist, podcast host, and author Sam Harris.

🗞️ RESOURCES

Large Language Models (LLMs) in Focus:

  • Popularity: LLMs, like ChatGPT and Bard, are gaining traction, with many platforms emerging to utilize their capabilities.

  • Nature: LLMs employ deep learning for natural language tasks. Originating from Transformer-based neural networks by Google in 2017, their efficiency is gauged by their parameters.

  • Applications: Useful across industries for text summarization, sentiment analysis, chatbots, and more.

  • Benefits: LLMs can cut costs, enhance customer experience, save time, and boost task accuracy.

  • Training: Comprises pre-training (basic language learning) and fine-tuning (task-specific optimization).

  • Challenges:

    • Bias: May propagate biases or inaccuracies from training data.

    • Context Limit: Some models have token limits, affecting processing capacity.

    • Cost: High development expenses; e.g., Megatron-Turing costs estimated at $100 million.

    • Environment: Significant carbon footprints; e.g., training BERT equals a trans-American flight's impact.

🗞️ AI TOOLS

Mailivery: Land in the Inbox. Not the Spam Folder. Maximize Email Deliverability

Gamma: A new medium for presenting ideas. Powered by AI. Just start writing. Beautiful, engaging content with none of the formatting and design work.

Supermeme: Turn text into memes using AI Meme Generator

SheetGPT: The Power of AI in Google Sheets. SheetGPT is the easiest way to integrate OpenAI's text and image generation in your Google Sheets™

OneShot: OneShot uses AI & machine learning to pinpoint ideal leads and generate highly personalized, ChatGPT-powered messaging.

Disclaimer: 1) The tool descriptions may include messaging from each tool site. 2) Please thoroughly read the site details before using and/or acquiring any of the tools listed above.

🗞️ INDUSTRY & FUNCTION

This Yahoo Finance article discusses the transformative impact of AI and automation across various industries. It highlights the top industries benefiting from these technologies, such as healthcare and fashion. The global industrial automation market's growth, despite a pandemic setback, is projected to reach $395.09 billion by 2029. AI has revolutionized healthcare with rapid digital transformation, from diagnosis to patient care, through AI-driven image interpretation and clinical decision-making support. Fashion benefits from AI's data analysis for design prediction, personalized shopping experiences, and efficient supply chain management. The article also notes industries like movie directing, psychology, and skilled trades that may not be heavily impacted by AI in the near future. The methodology used for ranking industries is detailed, with examples provided for each.

🗞️ WORK

Generative AI is poised to replace entry-level roles, disrupting career progressions. This shift requires companies to fast-track entry-level workers into midlevel positions and adapt recruiters' approaches. While generative AI may alter job roles, it's crucial to address biases and data privacy concerns. Despite concerns, employees are open to using AI to streamline tasks. Recruiters are incorporating generative AI for efficient processes.

How to Future-Proof Your Tech Career

In an era dominated by AI and automation, safeguarding your tech career's relevance demands strategic foresight. Rather than shying away, embrace emerging tools and technologies as allies in your professional journey. These innovations streamline tasks, freeing you to concentrate on more intricate responsibilities. While technology automates certain aspects, don't overlook the significance of soft skills like creativity, empathy, and teamwork. AI can't replicate these human attributes. To remain resilient, cultivate adaptability. Discover your optimal learning method and swiftly adopt new tools. Choosing between becoming a generalist or a specialist hinges on your aspirations and industry demand. Nurturing innovation and venturing beyond your comfort zone is pivotal for advancement. Seek collaborative opportunities to broaden your horizons. Embrace the role of a perpetual learner, remaining open to the evolving landscape sculpted by AI and technology.

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