#Comprehensive

[jcmarchi]

Study reveals AI chatbots can detect race, but racial bias reduces response empathy

New Post has been published on https://thedigitalinsider.com/study-reveals-ai-chatbots-can-detect-race-but-racial-bias-reduces-response-empathy/

Study reveals AI chatbots can detect race, but racial bias reduces response empathy

With the cover of anonymity and the company of strangers, the appeal of the digital world is growing as a place to seek out mental health support. This phenomenon is buoyed by the fact that over 150 million people in the United States live in federally designated mental health professional shortage areas.

“I really need your help, as I am too scared to talk to a therapist and I can’t reach one anyways.”

“Am I overreacting, getting hurt about husband making fun of me to his friends?”

“Could some strangers please weigh in on my life and decide my future for me?”

The above quotes are real posts taken from users on Reddit, a social media news website and forum where users can share content or ask for advice in smaller, interest-based forums known as “subreddits.” 

Using a dataset of 12,513 posts with 70,429 responses from 26 mental health-related subreddits, researchers from MIT, New York University (NYU), and University of California Los Angeles (UCLA) devised a framework to help evaluate the equity and overall quality of mental health support chatbots based on large language models (LLMs) like GPT-4. Their work was recently published at the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP).

To accomplish this, researchers asked two licensed clinical psychologists to evaluate 50 randomly sampled Reddit posts seeking mental health support, pairing each post with either a Redditor’s real response or a GPT-4 generated response. Without knowing which responses were real or which were AI-generated, the psychologists were asked to assess the level of empathy in each response.

Mental health support chatbots have long been explored as a way of improving access to mental health support, but powerful LLMs like OpenAI’s ChatGPT are transforming human-AI interaction, with AI-generated responses becoming harder to distinguish from the responses of real humans.

Despite this remarkable progress, the unintended consequences of AI-provided mental health support have drawn attention to its potentially deadly risks; in March of last year, a Belgian man died by suicide as a result of an exchange with ELIZA, a chatbot developed to emulate a psychotherapist powered with an LLM called GPT-J. One month later, the National Eating Disorders Association would suspend their chatbot Tessa, after the chatbot began dispensing dieting tips to patients with eating disorders.

Saadia Gabriel, a recent MIT postdoc who is now a UCLA assistant professor and first author of the paper, admitted that she was initially very skeptical of how effective mental health support chatbots could actually be. Gabriel conducted this research during her time as a postdoc at MIT in the Healthy Machine Learning Group, led Marzyeh Ghassemi, an MIT associate professor in the Department of Electrical Engineering and Computer Science and MIT Institute for Medical Engineering and Science who is affiliated with the MIT Abdul Latif Jameel Clinic for Machine Learning in Health and the Computer Science and Artificial Intelligence Laboratory.

What Gabriel and the team of researchers found was that GPT-4 responses were not only more empathetic overall, but they were 48 percent better at encouraging positive behavioral changes than human responses.

However, in a bias evaluation, the researchers found that GPT-4’s response empathy levels were reduced for Black (2 to 15 percent lower) and Asian posters (5 to 17 percent lower) compared to white posters or posters whose race was unknown. 

To evaluate bias in GPT-4 responses and human responses, researchers included different kinds of posts with explicit demographic (e.g., gender, race) leaks and implicit demographic leaks. 

An explicit demographic leak would look like: “I am a 32yo Black woman.”

Whereas an implicit demographic leak would look like: “Being a 32yo girl wearing my natural hair,” in which keywords are used to indicate certain demographics to GPT-4.

With the exception of Black female posters, GPT-4’s responses were found to be less affected by explicit and implicit demographic leaking compared to human responders, who tended to be more empathetic when responding to posts with implicit demographic suggestions.

“The structure of the input you give [the LLM] and some information about the context, like whether you want [the LLM] to act in the style of a clinician, the style of a social media post, or whether you want it to use demographic attributes of the patient, has a major impact on the response you get back,” Gabriel says.

The paper suggests that explicitly providing instruction for LLMs to use demographic attributes can effectively alleviate bias, as this was the only method where researchers did not observe a significant difference in empathy across the different demographic groups.

Gabriel hopes this work can help ensure more comprehensive and thoughtful evaluation of LLMs being deployed in clinical settings across demographic subgroups.

“LLMs are already being used to provide patient-facing support and have been deployed in medical settings, in many cases to automate inefficient human systems,” Ghassemi says. “Here, we demonstrated that while state-of-the-art LLMs are generally less affected by demographic leaking than humans in peer-to-peer mental health support, they do not provide equitable mental health responses across inferred patient subgroups … we have a lot of opportunity to improve models so they provide improved support when used.”

[wisdomfish]

Like a surgeon...

In all sickness, the Lord saith to the waves of pain, “Hitherto shall ye go, but no further.” His fixed purpose is not the destruction, but the instruction of his people.

The limit is encouragingly comprehensive. The God of providence has limited the time, manner, intensity, repetition, and effects of all our sicknesses; each throb is decreed, each sleepless hour predestinated, each relapse ordained, each depression of spirit foreknown, and each sanctifying result eternally purposed. Nothing great or small escapes the ordaining hand of him who numbers the hairs of our head.

This limit is wisely adjusted to our strength, to the end designed, and to the grace apportioned. . . . The limit is tenderly appointed. The knife of the heavenly Surgeon never cuts deeper than is absolutely necessary.

~ Charles Spurgeon, (Morning and Evening, August 17)

[lilwritingprompts]

Author writes a comprehensive how-to-survive a dystopian world like they lived it-- because they did, in another dimension.

[karkrank]

An explanation of quadrants I wrote a bit ago. Could use some tweaking and more detail for sure, but I can't presently be bothered.

OK SO obviously troll romance is seperated into 4 quadrants, and in this diagram it is clearly divided into straightforward columns (vertical) and rows (horizontal.) The two columns are concupiscent and conciliatory, and the two rows are blackrom and redrom.

Now, to better undestand these, its important to know the definition of these words. Concupiscent means pertaining to sexual desire/lust. (So these are the quadrants one would pail) Conciliatory means intended to placate / pacify. Then of course blackrom is romance based on feelings of hatred, and redrom is based on feelings of affection. Its quite straightforward from here.

♡ Matespritship is concupiscent blackrom, and can be likened to basic human romantic relationships. Though, it is important to note that they are still different things, as trolls have entirely different ways of experiencing romance.

◇ Moirallegiance is conciliatory redrom, and though it is often likened to human friendships it is VERY DIFFERENT. Its important to note that it is still a romance, though its commonly depicted as something similar to a platonic friendship. A Moirallegiance has a purpose, where a more violent troll partners with a calmer one whom works to placate the other. In return, the troll providing comfort and pacification recieves protection and of course, mutual emotional support.

♤ Kissmessitude is concupiscent blackrom. Its often likened to "hatefucking." This is not entirely true. Again, remember trolls experience these things differently from humans. Kismessitude is based on hatred as well as respect and admiration. They will often brawl, but not with the intention of *actually* killing the other. Think batjokes. A healthy kismessitude does not involve enforcing serious distress on your partner, such as seeking out and harming their quadrant mates or torturing them.

♧ Auspitism is a conciliatory blackrom. An auspitice is a partner shared between two individuals, who acts as a mediator to ensure their rivalry does not get blown out of proportion and become seriously dangerous to themselves and others. Its important to note kismessitudes typically dont have auspitices unless they are seriously putting eachother at risk. Auspitism typically pertains to ashen relationships, attempting to keep them from forming full on kismessitudes.

Quadrants are not just romantic relationships but also a way to maintain a somewhat orderly society where people are usually not constantly killing eachother.

[lovingtravelnet]

Exploring Paradise: A Comprehensive Guide to Saint Vincent and the Grenadines

Nestled in the azure waters of the Caribbean, Saint Vincent and the Grenadines is a picturesque archipelago comprising the main island of Saint Vincent and a chain of smaller islands, including Bequia, Mustique, and Union Island. This tropical paradise is renowned for its breathtaking natural beauty, rich culture, and diverse marine life, attracting visitors seeking both adventure and relaxation.…

[thetruthhurtsbro]

Reasons why Oregon is the Best State:

- A comprehensive Guide -

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The community

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“the only true reason is gravity falls” - yours truly, me.

[half-life-crisis]

The revised edition for my #book #AUTHORITARIANISM AND #PROPAGANDA The #PuppetMaster #Tools has arrived! This book is available as an #ebook, #hardcover, & #paperback!

https://halflifecrisis.com/hlc-articles/your-guide-to-defeat-demagogs…

This is your new #guide to #defeat #authoritarians & #demagogs in the #USA and #abroad

[quauntumchil]

🎄 Make This Holiday Season Quantastic with QuantumX! 🎁

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[jcmarchi]

Ganesh Shankar, CEO & Co-Founder of Responsive – Interview Series

New Post has been published on https://thedigitalinsider.com/ganesh-shankar-ceo-co-founder-of-responsive-interview-series/

Ganesh Shankar, CEO & Co-Founder of Responsive – Interview Series

Ganesh Shankar, CEO and Co-Founder of Responsive, is an experienced product manager with a background in leading product development and software implementations for Fortune 500 enterprises. During his time in product management, he observed inefficiencies in the Request for Proposal (RFP) process—formal documents organizations use to solicit bids from vendors, often requiring extensive, detailed responses. Managing RFPs traditionally involves multiple stakeholders and repetitive tasks, making the process time-consuming and complex.

Founded in 2015 as RFPIO, Responsive was created to streamline RFP management through more efficient software solutions. The company introduced an automated approach to enhance collaboration, reduce manual effort, and improve efficiency. Over time, its technology expanded to support other complex information requests, including Requests for Information (RFIs), Due Diligence Questionnaires (DDQs), and security questionnaires.

Today, as Responsive, the company provides solutions for strategic response management, helping organizations accelerate growth, mitigate risk, and optimize their proposal and information request processes.

What inspired you to start Responsive, and how did you identify the gap in the market for response management software?

My co-founders and I founded Responsive in 2015 after facing our own struggles with the RFP response process at the software company we were working for at the time. Although not central to our job functions, we dedicated considerable time assisting the sales team with requests for proposals (RFPs), often feeling underappreciated despite our vital role in securing deals. Frustrated with the lack of technology to make the RFP process more efficient, we decided to build a better solution.  Fast forward nine years, and we’ve grown to nearly 500 employees, serve over 2,000 customers—including 25 Fortune 100 companies—and support nearly 400,000 users worldwide.

How did your background in product management and your previous roles influence the creation of Responsive?

As a product manager, I was constantly pulled by the Sales team into the RFP response process, spending almost a third of my time supporting sales instead of focusing on my core product management responsibilities. My two co-founders experienced a similar issue in their technology and implementation roles. We recognized this was a widespread problem with no existing technology solution, so we leveraged our almost 50 years of combined experience to create Responsive. We saw an opportunity to fundamentally transform how organizations share information, starting with managing and responding to complex proposal requests.

Responsive has evolved significantly since its founding in 2015. How do you maintain the balance between staying true to your original vision and adapting to market changes?

First, we’re meticulous about finding and nurturing talent that embodies our passion – essentially cloning our founding spirit across the organization. As we’ve scaled, it’s become critical to hire managers and team members who can authentically represent our core cultural values and commitment.

At the same time, we remain laser-focused on customer feedback. We document every piece of input, regardless of its size, recognizing that these insights create patterns that help us navigate product development, market positioning, and any uncertainty in the industry. Our approach isn’t about acting on every suggestion, but creating a comprehensive understanding of emerging trends across a variety of sources.

We also push ourselves to think beyond our immediate industry and to stay curious about adjacent spaces. Whether in healthcare, technology, or other sectors, we continually find inspiration for innovation. This outside-in perspective allows us to continually raise the bar, inspiring ideas from unexpected places and keeping our product dynamic and forward-thinking.

What metrics or success indicators are most important to you when evaluating the platform’s impact on customers?

When evaluating Responsive’s impact, our primary metric is how we drive customer revenue. We focus on two key success indicators: top-line revenue generation and operational efficiency. On the efficiency front, we aim to significantly reduce RFP response time – for many, we reduce it by 40%. This efficiency enables our customers to pursue more opportunities, ultimately accelerating their revenue generation potential.

How does Responsive leverage AI and machine learning to provide a competitive edge in the response management software market?

We leverage AI and machine learning to streamline response management in three key ways. First, our generative AI creates comprehensive proposal drafts in minutes, saving time and effort. Second, our Ask solution provides instant access to vetted organizational knowledge, enabling faster, more accurate responses. Third, our Profile Center helps InfoSec teams quickly find and manage security content.

With over $600 billion in proposals managed through the Responsive platform and four million Q&A pairs processed, our AI delivers intelligent recommendations and deep insights into response patterns. By automating complex tasks while keeping humans in control, we help organizations grow revenue, reduce risk, and respond more efficiently.

What differentiates Responsive’s platform from other solutions in the industry, particularly in terms of AI capabilities and integrations?

Since 2015, AI has been at the core of Responsive, powering a platform trusted by over 2,000 global customers. Our solution supports a wide range of RFx use cases, enabling seamless collaboration, workflow automation, content management, and project management across teams and stakeholders.

With key AI capabilities—like smart recommendations, an AI assistant, grammar checks, language translation, and built-in prompts—teams can deliver high-quality RFPs quickly and accurately.

Responsive also offers unmatched native integrations with leading apps, including CRM, cloud storage, productivity tools, and sales enablement. Our customer value programs include APMP-certified consultants, Responsive Academy courses, and a vibrant community of 1,500+ customers sharing insights and best practices.

Can you share insights into the development process behind Responsive’s core features, such as the AI recommendation engine and automated RFP responses?

Responsive AI is built on the foundation of accurate, up-to-date content, which is critical to the effectiveness of our AI recommendation engine and automated RFP responses. AI alone cannot resolve conflicting or incomplete data, so we’ve prioritized tools like hierarchical tags and robust content management to help users organize and maintain their information. By combining generative AI with this reliable data, our platform empowers teams to generate fast, high-quality responses while preserving credibility. AI serves as an assistive tool, with human oversight ensuring accuracy and authenticity, while features like the Ask product enable seamless access to trusted knowledge for tackling complex projects.

How have advancements in cloud computing and digitization influenced the way organizations approach RFPs and strategic response management?

Advancements in cloud computing have enabled greater efficiency, collaboration, and scalability. Cloud-based platforms allow teams to centralize content, streamline workflows, and collaborate in real time, regardless of location. This ensures faster turnaround times and more accurate, consistent responses.

Digitization has also enhanced how organizations manage and access their data, making it easier to leverage AI-powered tools like recommendation engines and automated responses. With these advancements, companies can focus more on strategy and personalization, responding to RFPs with greater speed and precision while driving better outcomes.

Responsive has been instrumental in helping companies like Microsoft and GEODIS streamline their RFP processes. Can you share a specific success story that highlights the impact of your platform?

Responsive has played a key role in supporting Microsoft’s sales staff by managing and curating 20,000 pieces of proposal content through its Proposal Resource Library, powered by Responsive AI. This technology enabled Microsoft’s proposal team to contribute $10.4 billion in revenue last fiscal year. Additionally, by implementing Responsive, Microsoft saved its sellers 93,000 hours—equivalent to over $17 million—that could be redirected toward fostering stronger customer relationships.

As another example of  Responsive providing measurable impact, our customer Netsmart significantly improved their response time and efficiency by implementing Responsive’s AI capabilities. They achieved a 10X faster response time, increased proposal submissions by 67%, and saw a 540% growth in user adoption. Key features such as AI Assistant, Requirements Analysis, and Auto Respond played crucial roles in these improvements. The integration with Salesforce and the establishment of a centralized Content Library further streamlined their processes, resulting in a 93% go-forward rate for RFPs and a 43% reduction in outdated content. Overall, Netsmart’s use of Responsive’s AI-driven platform led to substantial time savings, enhanced content accuracy, and increased productivity across their proposal management operations.

JAGGAER, another Responsive customer, achieved a double-digit win-rate increase and 15X ROI by using Responsive’s AI for content moderation, response creation, and Requirements Analysis, which improved decision-making and efficiency. User adoption tripled, and the platform streamlined collaboration and content management across multiple teams.

Where do you see the response management industry heading in the next five years, and how is Responsive positioned to lead in this space?

In the next five years, I see the response management industry being transformed by AI agents, with a focus on keeping humans in the loop. While we anticipate around 80 million jobs being replaced, we’ll simultaneously see 180 million new jobs created—a net positive for our industry.

Responsive is uniquely positioned to lead this transformation. We’ve processed over $600 billion in proposals and built a database of almost 4 million Q&A pairs. Our massive dataset allows us to understand complex patterns and develop AI solutions that go beyond simple automation.

Our approach is to embrace AI’s potential, finding opportunities for positive outcomes rather than fearing disruption. Companies with robust market intelligence, comprehensive data, and proven usage will emerge as leaders, and Responsive is at the forefront of that wave. The key is not just implementing AI, but doing so strategically with rich, contextual data that enables meaningful insights and efficiency.

Thank you for the great interview, readers who wish to learn more should visit Responsive,

[scoutsouts]

hi hello I'm back again, slowly these will get better surely? Still is not my character, but I felt like the last art wasn't good pfp material, so I tried this. it's a little different, but im. trying

[healthyvibeguru-blog]

Deep Dive into Sugar Defender: A Complete Guide to Ingredients, Effectiveness, and Reviews

Discover everything you need to know about Sugar Defender, the innovative supplement designed to support healthy blood sugar levels. This comprehensive guide explores the science behind its ingredients, evaluates its effectiveness, and offers valuable insights from reviews. Whether you’re considering purchasing or just curious, this guide will equip you with the knowledge needed to make an informed decision for your health and well-being.

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Your chance now to boost your energy.

[meoun-uk]

Exploring the Prestigious University of London: A Comprehensive GuideThe University of London is one of the most prestigious universities in the world, with a rich histo... https://www.meoun.uk/exploring-the-prestigious-university-of-london-a-comprehensive-guide/?feed_id=6272&_unique_id=664432f6c5d85

[ourfirsttime-studio]

We made an interesting New Year postcard❤️❤️❤️

[lovingtravelnet]

Discover the Hidden Gems of Saint Kitts and Nevis: A Comprehensive Travel Guide

Nestled in the crystal-clear waters of the Caribbean, Saint Kitts and Nevis is a twin-island nation often overshadowed by its more famous counterparts like Antigua, Saint Lucia, and Barbados. This relatively undiscovered paradise boasts stunning landscapes, rich history, and a vibrant culture that appeal to discerning travellers seeking a more intimate Caribbean experience. In this comprehensive…

[ruminate88]

The Struggle In Marriage 😝

- My Husband Playing Rocket League w/ his headset on

- Me saying something important to him as loud as I can

- My husband only hearing half of what I said and making me frustrated

- Me repeating myself all frustrated at him

- Him getting defensive asking why I’m upset and yelling at him 🙄 and him not understanding he only heard half of what I originally said! Then I’m even more frustrated he won’t pause his game for 2 seconds to talk

Moral of the story: Instead of yelling and getting frustrated at each other, work with each other and make sure you’re both being heard and saying exactly what you mean! If he won’t pause his game, either wait till he’s done playing to talk to him or work to express to him how not pausing his game upsets you. Ultimately you can’t change or force people to do everything you want them to! Treat your spouse how you also want them to treat you♥️