Malena Lopez-Sotelo

Please join us on: Re:Publica - Talk&Panel 29.05. - 14:00/2pm at the Google Booth. Title: “Who cares about… Making public Health Truly Public” Host: Götz "GG" Gottschalk, MBA (Head of Health, DE, YouTube) Panel Guests: Niels H. CEO KENHUB & Sebastian Kaulitzki CEO SciePro Short Description: In our increasingly digital world, the next phase in health communication is video, where we can connect with people and answer their questions in a way that is both visual and personal. information is a determinant of health and the degree to which information and communication impact health outcomes has been brought into sharp view over the last few years. Video is an incredibly effective format for sharing health information in engaging, digestible, and emotionally supportive ways. YouTube Health partners with public health and clinical experts, such as the WHO, from all over the world to provide equitable access to highly authoritative health information that is evidence-based and culturally relevant. YouTube is focusing on two areas in the effort to provide equitable access to highly authoritative health information: information quality and information equity. People can utilize YouTube to learn from health experts and accredited organizations who have developed the skills to connect at scale with engaging and helpful information. YouTube Health’s mission is to make public health truly public, for the platform’s 2 billion users. This begins with revolutionizing the way people engage, interact, and receive accessible health information via video. Now, we’re looking to inspire the healthcare industry & professionals alike, to contribute towards the greater mission to raise health literacy and accelerate progress towards universal health coverage & harnessing the Power of Digital Technologies for Global Health.

53

2 Comments

🚀 Exciting News: Introducing WF Labs! 🚀 I'm thrilled to announce the launch of ✨WF Labs✨ a movement-owned AI innovation hub empowering the left to reach voters and communities at scale! 🌐 https://www.wflabs.org/ Like many of you, my feelings on AI have run the gamut from skepticism and fear to awe and concern. I've worried about job displacement and algorithmic bias, while simultaneously marveling at AI's potential to solve complex problems. What I have come to realize is that AI is here and changing the way we work, whether we like it or not. I also believe that if the left does not doesn’t decide AI’s role in democracy, that AI tools fundamentally won’t work for us or our communities. Without our input and values guiding its development, AI tools may inadvertently perpetuate or exacerbate existing inequalities. However, by engaging with AI, we can harness a powerful tool for social change. It has the potential to revolutionize how we organize, communicate, and mobilize for progressive causes. We need to ensure that these powerful technologies will work for us and our communities. Working Families Party is a trusted leader on the left that has won hundreds of elections for candidates that champion the working class, and in recent years we have made significant investments in tech and AI capacities.  In 2022, we incubated the startup, Votivate, to provide affordable voter file access to candidates and organizations. In 2023, we joined forces with a data science company to super charge Votivate and the Working Families Party with powerful AI technology, enabling progressives to organize smarter at scale. 🚀 Now, we are launching WF Labs to be the center of gravity for AI on the left to fuel movement organizations, campaigns, and labor institutions to organize the multi racial working class at scale. We intend to leverage our newly acquired technological resources to build AI software, tools, and apps that unlocks a new paradigm of organizing for the left. We're assembling a Product Advisory Committee with expertise from labor, campaign, and movement spheres to guide product development at Votivate and beyond. Our goal is to innovate a suite of campaign tech tools that empower organizers nationwide. Through these efforts, WF Labs aims to create a world where the admin and data minutiae of organizing work is automated away, campaigns can identify and mobilize supporters with pinpoint accuracy, and under-resourced grassroots organizations have the tools they need to organize in their communities at scale.    👀  We’re excited to unveil Votivate’s first AI product at Netroots, and even more excited to continue to innovate in community with all of you.    If you want to talk about how AI can scale your organizing efforts and help you reach the multi racial working class, let’s talk. 🌐 https://www.wflabs.org/ 🌐 https://www.wflabs.org/ 🌐 https://www.wflabs.org/ Or, find me at Netroots. I’d love to meet you.

78

6 Comments

Understanding AI is increasingly important for workers of all types so today we launched the $75M Google AI Opportunity Fund in the US to equip 1M Americans with AI skills. Google.org will be supporting workforce development, education, and capacity building organizations to get training out to rural and underserved workers, the public sector, students and educators, small businesses, and nonprofits to ensure that AI's benefits are more equally distributed. Alongside, Google has launched a new course -- Google AI Essentials (https://lnkd.in/dsHdvc5M) -- designed and taught by AI experts at Google that will be part of what helps support this training. This joins work across Europe, Latin America, the Middle East, Asia and Africa to provide AI skills and training, especially for underserved communities. Congrats to the teams across Google.org and Google who helped make this happen and more to come, especially on the potential for nonprofit training! https://lnkd.in/gnT9SiYV

149

12 Comments

What a difference a dozen years make! In 2012, we created and launched the White House Presidential Innovation Fellows (PIF) program. We could barely imagine at that time the extent and rapidity of the progress that was about to occur in machine learning and related fields. But we believed deeply that having a pathway for getting technologists into high-impact public service mattered. Yesterday, as part of President Biden's AI Talent Surge, the US Government announced a new PIF cohort consisting exclusively of leading AI experts to help ensure that eight key departments -- Justice, State, OMB, DoD, and more -- responsibly develop and use AI tools in order to effectively achieve their missions on behalf of the American people. Just as every organization became a tech organization in recent decades, so too will they need to graft AI onto their DNA in order to meet the rising expectations of the public. I'm heartened that these AI PIFs answered the call and will now use their diverse backgrounds and invaluable experiences in data, systems design, governance, equity, and security to make sure that AI works for everyone. Learn more here: https://lnkd.in/ebwXZxmi #AI #ML #DigitalGov #TechForGood #USA

132

1 Comment

There are four takeaways from the article: 1. Social media produces benefits for users as well as creates harm. 2. The best way to understand the extent of the harm is through independent, outside research. 3. Social media companies cannot be counted on to provide what is best for society. 4. Congress needs to act to help govern social media platforms. Private institutions can help by creating programs that help lessen the consequences of social media, such as Social Media Harm Reduction. Solutions can come from all different areas of society. #socialmedia #technology #Congress #SurgeonGeneral #SocialMediaFirstAid Social Media Research Institute

2

Interesting (and quick) article on the use of large language models (LLMs) to improve behavior change. Researchers from the University of Illinois Urbana-Champaign found that while LLMs can help identify user motivation when there are already behavior change intentions in place, they are less helpful if someone is ambivalent or hesitant about a particular behavior change. The link to the full article is at the end of this write up for those who are interested. https://lnkd.in/enac_mps

15

7 Comments

This booklet is an incredibly thoughtful and much-needed resource for experts seeking to engage with the press. If you're looking to share your expertise with the media, be sure to check it out!

21

I'm a Product Manager (PM) who is committed to developing products that center diverse perspectives in shaping our narratives. 💪🏾 As a PM dedicated to creating equal opportunities and supporting marginalized populations, I believe in the power of diverse perspectives. They are not only essential for innovation but are key to developing products that resonate with everyone. 🌍 Representation matters in every stage of product development, from concept to market. So you know I am not only excited to be part of Diversitech 2024! I am welcoming this crucial conversation on "The Role of Representation: Diverse Voices in Shaping Product Narratives." This session features leading voices like CherRaye Glenn-Flowers, Dr. Lonna Hardin, and Evan Leaphart, moderated by Derek D. Ross, MBA. 🗣️✨ I believe out of conversation we can make achievable and actionable goals towards inclusivity to make diversity in product storytelling a norm. 🚀 Reserve your spot and be part of the change! (Ticket link in the comments) #Diversitech2024 #InclusivityInTech #RepresentationMatters #ProductManagement #diversitech

16

1 Comment

📣 Calling all the #emergingtech #founders and #builders out there. Do you ever worry that when the #regulators knock, they'll completely misunderstand what you're building? Do you feel like the headlines about your industry is more gossip than tech, but you're the one paying the price? Let's #disrupt this! 🚀 I've been working tirelessly to create a summit that will train you so you can lead the narrative, and stop playing defense. Join us at University of California, Berkeley on May 13th for TECHVocacy 2024: Emerging Tech Advocacy Summit! What makes this summit so different? No long winded panels to talk about the problem or to talk about the tech (#ai #crypto #web3 #av #socialmedia). We have 🔵 Experts to deliver lightning talks that will SHOW (not tell) how to talk about your emerging and disruptive tech with policymakers/regulators 🔵 Real-time media training demos Co-hosted by Berkeley Center for Law and Business Berkeley Haas Entrepreneurship Berkeley Center for Responsible Decentralized Intelligence with support from Berkeley Space Center. Admission is free, but registration is limited! Sign up soon!

32

4 Comments

Join me Thursday, May 9 at 9amET, and Microsoft for Startups company founders, Stead Burwell, Lana Feng, Ph.D. Andrew Gostine, MD, MBA and Ankur Teredesai for a lively, *real-world* conversation about applying #AI to improve #healthcare. In addition to hearing these leading #innovators discuss the challenges, value, and future of AI, you'll learn how: 💲 Outbound AI uses AI to improve #RevenueCycleManagement 💊 Huma.AI uses #GenAI to provide meaningful and actionable #insights for #lifesciences companies 🛌Artisight uses #AI and #cognitiveservices to streamline #patientcare and #safety 😷 CueZen uses #AI and #GenAI for hyper-personalized management of #chronicconditions 👉 Registration is below. Stelios Hatzakis Tony Kountz Derek Haynes Bethany Cordes Tom Davis Ted Roduner Microsoft for Healthcare

58

2 Comments

I really enjoyed this recent piece by Shobita Parthasarathy and Jared Lee Katzman. In the article, they discuss the challenges of many traditional tech development processes in having a positive impact on social issues. "But do these experts really understand which needs are unmet? When experts steer innovation, they are deciding which problems are important and how they should be understood and solved. Often, the problems deemed important are those that, in being addressed, yield profit. But sometimes developers try to solve social problems, usually with minimal input from the populations most affected. This leads to misdiagnosis." There are many ways to address this challenge, one of which is through how we educate scientists and engineers. I appreciate how the authors summed up this need: "Because it is essential that future AI researchers be empowered to reckon with the true social complexities of their work, humanizing education should be treated as no less important than technical education: it cannot be ghettoized in elective courses, where it is easily dismissed. Students must learn that technical decisions about research problems, datasets, and code are always value-laden." The article also argues for building capacity in communities. The point here aligns well with what Amy Sample Ward and I wrote in The Tech That Comes Next: "Whether these are decisions made by private companies or public officials, the people affected should have a say in them." In calling for regulation of AI, the article proposes: "Such evaluation also must extend beyond technical components of AI, because even a well-functioning system designed to pursue a worthwhile goal like crime reduction can perpetuate structural inequalities. Thus an equity-focused impact assessment should consider the social context in which the technology will be used..." The evolving AI space could certainly benefit from measurement and evaluation standards; I'm intrigued by this particular suggestion. #PublicInterestTech #AI #AIEthics Link to full article here:

23

3 Comments

Can AI alignment truly represent global values? 🌍 I've just published a new article exploring how we can scale Anthropic's Collective Constitutional AI approach to be more inclusive and culturally diverse. 𝐊𝐞𝐲 𝐩𝐨𝐢𝐧𝐭𝐬: 1. Three potential avenues for Inclusive and Diverse AI alignment 2. Pros and cons of each approach 3. My recommendation for leveraging existing democratic norms As AI becomes ubiquitous, ensuring it aligns with diverse global perspectives will be crucial. But how do we achieve this at scale? Read my full analysis on Medium to dive deeper into this critical AI Alignment and also an AI governance challenge: [Link to the Medium article in the first comment] What are your thoughts on aligning AI with cultural and legal frameworks? Let's discuss this in the comments! #ConstitutionalAI #CollectiveConstitutionalAI #Anthropic #AISafety #AIAlignment #AIEthics #AIGovernance

15

2 Comments

Hi, everyone! DC Startup Women & Women and Gender eXpansive Coders DC are hosting an event on June 6, 2024 at 6 pm focused on the origin stories of several women and their journeys as founders and CEOs. If you are interested, please RSVP through the Meetup link below. We hope to see you there!

13

AI is not about AI. For #nonprofits, #foundations, #CSR teams its greatest value in unlocking broader conversations. Conversations, for instance, about how innovation - which I'd define as new approaches to solving problems - can be brought into organizations that are resource constrained to help drive more impact. For example, having a handle on your data isn't optional anymore! That's one positive I see in this new landscape. Thanks to The Chronicle of Philanthropy for inviting me to join today for a great conversation

17

2 Comments

For the last 3 months I’ve been building a team of AI-powered storytelling assistants to help my colleagues at IBM tell better stories. While we’re obviously in the early days of this new era (and it’s like the wild west as models are breaking and hallucinating left, right and centre), it’s still very exciting to see the speed of progress, and the quality of what these models are capable of. I have recently created some business stories (with complex narratives and story structures) in under an hour. 12-18 months ago it might have taken me and a couple of folks over 30 hours for research, planning and storyboarding. This 2-minute video (diluted for public viewing for obvious reasons) shows a very simple but interesting use case. It demonstrates Llama-3 giving some communications advice to a nervous presenter, using an assistant that I’ve been training with vast amounts of storytelling and personality type data. The 3,000 word prompt behind the assistant took me a month to write! (That’s a whole story in itself). AI is getting a bad rep in some creative circles because it’s “not good enough”, “can’t augment human performance well enough” and either “hallucinates all the time” or just “gets everything plain wrong”. And for many public models that’s very true. 🤯 Those are often the type of stories you hear in the media because they're the ones that get the most eyeballs. Many open and public LLM’s (you know the ones I’m talking about) are tested on questionable data and provide no governance at all. They can’t be trusted with important tasks or sensitive data. They don’t tell you where their training data came from, and they definitely don’t clearly explain how the model came to its conclusions. But the models I’m working on for our clients at IBM are mind-blowingly good. Robust. Trusted. Safe. Secure. Compliant. Of course I’m biased 🤷🏻‍♂️ - but whether I’m wearing my IBM hat or not, I'm seeing these models telling strong stories with factually correct data (citing all their sources). They write scripts or speeches according to the most relevant story structure that I’ve trained them on - and they can then re-purpose it for the personality type of the presenter and their audience. That’s insanely great. 😉 I’m already seeing teams of people saving up to 5 hours each per week. That’s like having an extra day in your week. I built a story in 57 minutes last week that would have normally taken me a day (taking into account time needed for research, statistics, audience demographics and storyboarding). I was happy with 75% of the work done by the AI (watsonx) - I took just over an hour to fact-check and refine the story myself. As a storyteller who is naturally suspicious of AI - and one who values empathy, accuracy and emotional human connections - THIS IS A BIG DEAL. We have no real idea where this is going yet and what the implications will be. But it’s here. And it’s already MUCH better than you think it is.

448

86 Comments

Harvard’s Kennedy School Shorenstein’s Center released a document that can help make AI systems more transparent. The report introduces the CLeAR (Comparable, Legible, Actionable, and Robust) Documentation Framework that outlines important guiding principles for AI documentation. This is could be an important strategy for helping to address the problem of AI systems’ perceptions as “black boxes,” where people don’t fully understand how their algorithms work or the origins of their data sources. Note that the document is only a discussion paper, but it still highlights some interesting concepts.

9

1 Comment

Daniel J. Finkenstadt reveals very helpful AI powers within contract perfomance. We can go further; its multilevel -- narratives of contractor performance across contracts; of spend category performance across contractors; and of buyer performance across spend categories. Happy to help! National Contract Management Association (NCMA)

6

1 Comment

Kudos to the Massachusetts Institute of Technology for convening one of the largest interdisciplinary gatherings of #AI leaders, entrepreneurs, researchers and academics. Thank you to John Werner, Sandy Pentland and Randall Lane for bringing us together. Together with fellow panelists Jeffrey Saviano, Dr. Sasha Luccioni and Ra'ad Siraj we excavated AI Governance, Sustainability, and Scale, and the imperatives of ethics, corporate values and responsible business with a principled-based approach to #AI. As with driving, like business, brakes let you go faster. It feels counter-intuitive, but without brakes we would drive really slowly. A great moment for advancing #AI, with the MIT Media Lab hosting 2000+ attendees, 180 speakers, 80 AI startups, 67 "lightning talks", 36 panels, and 35 technical talks, spread over 4 tracks. #artificalintelligence #startups #entrepreneurship #mit #tech #esg #sustainability #LLM #generativeAI

138

5 Comments