HumanServices.ai (HSAI)

As artificial intelligence (AI) becomes increasingly integral to human services, the need for an ethical framework in its development and implementation is more pressing than ever. Human service professionals, with their deep understanding of social...

The integration of Artificial Intelligence (AI) into human services has opened new avenues for enhancing care, optimizing resource management, and providing more personalized support. Developing AI models specifically for human service applications is...

The integration of Artificial Intelligence (AI) into human services offers transformative potential, from streamlining administrative processes to providing personalized care. I spend most of my time highlighting the potential of AI to transform...

🎉 Time for a launch! 🎉 It's become increasingly clear to me this Fall that something big is coming that our sector needs to start talking openly about. Where LLMs were the appetizer, The Agentic Era is the first big course, and it will have huge implications for our beneficiaries and big opportunities for us as a sector. To help get this important conversation going, I'm publishing this (my first!) LinkedIn Newsletter. Check out the teaser post below, and I hope you'll subscribe! #workforcedevelopment #economicmobility #education #aiforgood

Do genAI tools actually improve lives, or is it just hype? Join me on December 11th with industry experts Steven Lee, Richard Hendra, and Tiffany Hsieh as we explore the real-world impact of AI in career development. I spend a lot of time (too much) thinking about when and why these solutions work and I'm excited to discuss what we're learning about building and testing products in an ethical, human-centered way. Join us! https://lnkd.in/gHAA47q9 #workforcedevelopment #ai  #techforgood #navtech

The administration of human services and public benefit programs is poised for significant transformation over the next five years, driven by advances in technology, evolving policy landscapes, and shifting societal needs. These changes aim to enhance...

AI is transforming the way organizations operate, and nonprofits and government agencies are no exception. The potential of artificial intelligence in these sectors is vast—enabling more efficient processes, more informed decisions, and innovative...

Thank you. There are many reasons to worry about what the future might hold - especially for the most vulnerable among us. Frankly, there always have been. That's why I'm so grateful to be working with an amazing group of friends, partners, and allies (check them out below) to make change through the AI for Nonprofits Sprint at Fund for the City of New York. Last Friday, working with our 20 founding Members and other partners, we crossed 1,000 nonprofit staff at our trainings!  All are welcome (click the link below) to 𝗷𝗼𝗶𝗻 𝘂𝘀 𝗼𝗻 𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 '𝗚𝗲𝘁𝘁𝗶𝗻𝗴 𝗦𝘁𝗮𝗿𝘁𝗲𝗱 𝘄𝗶𝘁𝗵 𝗔𝗜' 𝗭𝗼𝗼𝗺, 𝗗𝗲𝗰𝗲𝗺𝗯𝗲𝗿 𝟯𝗿𝗱, 𝟭𝟬 𝗔𝗠 𝗘𝗧. And big thanks to our partners: The Urban Assembly, Inc. United Way of New York City Council of Family and Child Caring Agencies (COFCCA) Center for Justice Innovation New York Law School Human Services Council of New York NYC Employment and Training Coalition (NYCETC) Vera Institute of Justice The City College of New York JCCA New York Legal Assistance Group America On Tech United Neighborhood Houses Center for Employment Opportunities Good Shepherd Services Nonprofit New York SCO Family of Services Selfhelp Community Services Fast Forward Just-Tech, LLC The EGF Accelerator The Tow Foundation RoundTable Technology Arbor Rising OpenAI [Just learned LinkedIn has a limit - so I name the names next time! Happy Thanksgiving, everyone]

Information Technology Industry Council (ITI) on the procurement of AI 🙂 AIPL is happy to see this ITI "Do"! "DO instruct offerors to submit EVIDENCE of outcomes to demonstrate capabilities." AIPL Comment: Yes, require real world evidence of the vendor claims made! ⚠ AIPL calls attention to 2 ITI "Don'ts." Are they IN CONFLICT with OMB's requirements & guidance on the responsible acquisition of AI in government (M-24018)? ⚠ "Do not require contractors to submit proprietary information such as AI model training data to the government." ⚠ "Do not evaluate AI solutions based on reviewing inputs, which may be proprietary or commercially sensitive." AIPL Comment: The Office of Management and Budget OMB Memo M-24-18 (pg.15) states: 📢 Incorporate Transparency Requirements into Contractual Terms and Solicitations to Obtain Necessary Information and Access. Agencies MUST ENSURE that vendors PROVIDE THEM with the information and documentation necessary to monitor the performance of an AI system or service and implement applicable requirements of OMB Memorandum M-24-10.29..... ⚙ The level of transparency agencies must require of a vendor, both in the solicitation and evaluation process and through resulting contractual obligations, SHOULD BE COMMENSURATE WITH THE RISK AND IMPACT of the use case for which the AI system or service will be used. Furthermore, careful consideration should be given to the range of potential agency use cases for the acquired AI system or service, and how the information required to facilitate compliance may depend on whether vendors are developers or deployers of an AI system or service. [4 selected points] A. Performance metrics, including real-world performance for specific sub-groups and demographic groups to surface discriminatory outcomes; B. Information about the TRAINING DATA, including the source, provenance, selection, quality, and appropriateness and fitness-for-purpose of the training data, the input features used, time period across which training data was collected, and any filters used; C. Information about programmatic evaluations of the AI system or service, including the methodology, design, DATA, and results of how the evaluation of the program delivering the AI system or service was conducted.; D. Information about testing and validation data, including the source, provenance, quality, and appropriateness and fitness-for-purpose of the testing and validation data, the time period across which it was collected, and the extent of overlap or other possible lack of independence from TRAINING DATA; 🎶 TAKEAWAY Use Charles Munger's inversion thinking. Think about what you want to achieve in reverse. What happens when buying AI goes wrong? What must you do to avoid it? Incorporate transparency requirements commensurate with the risk and impact! Samantha H. Gisele Waters, Ph.D. Dr. Cari Miller Anja K. #federal #AI #riskmanagement #acquisition #OMB #procurement

Artificial Intelligence (AI) is revolutionizing the field of human services, offering innovative solutions to complex problems and transforming the way support is delivered to those in need. From social work to healthcare, AI is being leveraged to...