Dangers of Generative AI

☕️ Greetings AI enthusiasts! It's Wednesday, September 13th. Welcome back to our daily dive into the AI landscape. We'll navigate the latest updates, trends, and insights from the AI and the business world. Let's begin!

🤖 The prevailing discourse on generative AI often centers on three main risks: job displacement, fake content, and sentient machines. However, these concerns only scratch the surface. The real game-changer is the rise of interactive generative media, which can craft highly personalized, adaptive content to influence individual behavior. Imagine not just targeted ads, but "heat-seeking missiles" of influence that adapt in real-time to your personal data. This new frontier isn't just about mass-producing content; it's about fine-tuning persuasion to an unprecedented degree, raising ethical questions that demand immediate attention from regulators and industry leaders alike.

Reference/Source: Venture Beat (Why generative AI is more dangerous than you think)

🗞️ Today’s Highlights:

• LATEST NEWS & TRENDS — How journalism should face the unchecked threats of generative AI

• INDUSTRY | FUNCTION — Generative AI for Business: 7 Productivity Boosts

• RESOURCES — The rise of generative AI: A marketer’s guide to textual and visual AI content

• WORK — Top 10 AI courses to upskill your organization

• AI TOOLS — Create gorgeous storyboards in minutes with our cutting-edge AI storyboard generator. No drawing skills required

• CHARTS — Build your creator store. Score brand deals. Own and grow your audience. All from a Beacons link in bio

🗞️ LATEST NEWS & TRENDS

1️⃣ AI is heralded as a game-changer, but it's veering dangerously close to being the ultimate saboteur of factual integrity, especially in journalism. Newsrooms face a critical juncture, as AI-generated "hallucinations" or fabrications risk overshadowing fact-based reporting. We've transitioned from dealing with fake news to confronting 'fake intelligence,' making the situation dire for information outlets. It's high time for journalistic ethics to evolve alongside machine learning, striking a balance between automation and authenticity. Without immediate interventions like dedicated "truth beats," our profession risks becoming an unwitting accomplice to misinformation.

Reference: (How journalism should face the unchecked threats of generative AI)

2️⃣ Robotic Process Automation has been hailed as the corporate liberator for mundane tasks, amassing a $5 billion valuation. It's been a godsend for sectors drowning in legacy tech, automating low-stakes, repetitive tasks in finance, healthcare, and beyond. But it's not all roses. Critics say RPA is a short-term fix for a long-term problem, a duct tape over the cracks in digital transformation. Enter GenAI, the new vanguard of automation that's far more adaptable and smart, able to overcome limitations that have stalled traditional RPA bots. This is an exciting time, but there are challenges—especially in regulation-heavy industries cautious of GenAI. The automation game is changing, but is the world ready to adapt?

Reference: (Next-generation automation: what Generative AI means for RPA)

3️⃣ The academic community is wrestling with the ethical and practical implications of generative AI like ChatGPT. With the ease and accessibility of these tools, the lines of plagiarism have blurred. The University of Alberta has even established a task force aiming to guide the responsible use of AI in educational settings. While some experts argue that AI and academic integrity can co-exist, it ultimately hinges on how the tool is employed—be it for ideation or assignment completion. There's a broader narrative around preparing students for an AI-integrated future, yet concerns about academic integrity persist.

Reference: (Can generative AI and academic integrity co-exist?)

4️⃣ Meta Platforms, the custodian of Facebook and Instagram, aims to upend OpenAI's reign in generative AI. Spearheaded by Mark Zuckerberg himself, Meta is designing a next-gen AI model that could potentially overshadow its earlier success, Llama 2. Designed to be open-source, this game-changing model will foster AI services around text and image generation. While OpenAI has been monetizing its AI prowess, Meta's commitment to open-source may serve as both a strength and a future challenge, given the high costs involved in AI development.

Reference: (Meta Platforms reportedly building open-source generative AI system to rival OpenAI’s ChatGPT)

5️⃣ In the recent Dreamforce 2023 keynote, Salesforce unveiled significant enhancements to Einstein AI and Data Cloud services, presenting Copilot—a highly customizable AI chatbot. Infused with company-specific data, Copilot offers tailor-made, actionable answers across various communication platforms. Salesforce aims to consolidate fragmented customer data with its Einstein 1 Platform, enhancing AI-driven CRM applications. While acknowledging the potential job displacement caused by AI, Salesforce executives remain optimistic, citing emerging roles like "prompt engineer." Cue eye-roll, but perhaps the future isn't so bleak after all.

Reference: (The next-generation Einstein AI will put a chatbot in every Salesforce application)

🗞️ INDUSTRY | FUNCTION

Generative AI is revolutionizing how businesses function, from automating workflows to optimizing user experiences. These advanced tools offer a versatile skill set, tackling tasks as varied as smart data analytics, customer service improvement, and even cybersecurity management. While they bring efficiencies and innovation, businesses must navigate challenges like data integrity and ethical considerations. Ultimately, success with generative AI hinges on informed adoption, regular training, and strategic alignment with business goals.

Reference: (Generative AI for Business: 7 Productivity Boosts)

🗞️ RESOURCES

In a rapidly evolving landscape, generative AI is morphing from a data analyzer to an artistic and code-generating marvel. With platforms like Midjourney for customizable portraits and Microsoft's Copilot for coding assistance, AI has boldly stepped into the creative limelight. As marketers, we're no longer confined to time-consuming tasks; we can leverage generative AI for strategic development, productivity, and hyper-personalized campaigns. It's a revolution worth embracing, and I'm your guide in decoding this game-changing technology. Word Count: 60

Reference: (The rise of generative AI: A marketer’s guide to textual and visual AI content)

🗞️ WORK

LinkedIn data reveals a 65% spike in learning hours dedicated to top AI courses in just a year, underscoring the eagerness of employees to ride this wave. Meanwhile, L&D pros are playing the role of AI educators and facilitators, directing employees on how to leverage AI for career growth, and steering companies towards successful adoption and ethical usage.

Reference: (Top 10 AI courses to upskill your organization)

1. How to Research and Write Using Generative AI Tools, Dave Birss

2. Nano Tips for Using ChatGPT for Business, Rachel Woods

3. Generative AI for Business Leaders, Tomer Cohen

4. What is Generative AI?, Pinar Seyhan Demirdag

5. Get Ready for Generative AI, Ashley Kennedy

6. Next Generation AI: An Intro to GPT-3, Jonathan Reichental

7. Machine Learning with Python: Foundations, Frederick Nwanganga

8. Introduction to Prompt Engineering for Generative AI, Ronnie Sheer

9. Prompt Engineering: How to Talk to the AIs, Xavier Amatriain

10. GPT-4: The New GPT Release and What You Need to Know, Jonathan Fernandes

🗞️ AI TOOLS

🔧 Beacons: Build your creator store. Score brand deals. Own and grow your audience. All from a Beacons link in bio.

🔧 KeyTalk: Meet game-changing Recommendation AI that gathers insight from people-powered data and processes them into a practical decision-support system for each industry.

🔧 Boords: Create gorgeous storyboards in minutes with our cutting-edge AI storyboard generator. No drawing skills required.

🔧 AskEdith: Analyze company data by asking questions

🔧 Podsift: Stay up to date on all of your favorite podcasts.

Disclaimer: 1) The tool descriptions are from the company behind each tool/app. 2) Please read the site details thoroughly before using and/or acquiring any of the tools listed above. We have not tested these tools and we will not be liable for anything.

🗞️ CHARTS

 👀 A paradigm shift is visible in key positions like HR Business Partners, Learning and development specialists, and Total Rewards Leaders. Data indicates a high adoption rate—58% of companies plan to incorporate GAI into HR by mid-2024. By streamlining repetitive tasks, GAI frees up time for strategic undertakings, thus fostering innovation and improving work quality. While cost-efficiency is a factor, the real game-changer is the capacity for nuanced, data-driven decision-making.

Reference/Source/Credit: Mercer (Generative AI will transform three key HR roles)

Disclaimer: The audio-visual content is courtesy of the source provided above.

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_{I'm not a newsletter expert so you might find my approach a tad different. In my daily dives into the world of AI, I handpick the latest gems, initially to support the AI projects that I’m working on. Realizing that these snippets might resonate with others, I thought, "Why not share this with my community and fellow AI enthusiasts?" I truly want this newsletter to be valuable to you so if there's anything on your mind—praises, critiques, or just a hello—please drop me a note. You can hit reply or shoot me a message directly at my email address: [email protected].}