Monday, September 25, 2023

g-f(2)1364 Daily g-f Fishing GK: Managing RAI with Fernando and the genioux AI Dream Team

 

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genioux Golden Knowledge (GK) Nuggets:


"RAI is governance, and the management of governance needs to be centralized in order to achieve its intended effectiveness of guidance and oversight." — Bard


"genioux Golden Knowledge (GK) Nugget: A successful RAI management structure balances centralized accountability with distributed responsibility, leverages diverse expertise, and fosters a culture of continuous learning and improvement." — Bing Chatbot


"Managing responsible AI necessitates centralized accountability and decentralized responsibility." — Claude


"A centralized, cross-functional team is crucial for setting RAI standards, ensuring accountability, and fostering a culture of responsible AI across an organization." — ChatGPT



ULTRA-condensed knowledge:


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The GK article “Managing RAI Requires a Central Team” in the MIT Sloan Management Review (MIT SMR) is penned by David Kiron and Steven Mills. “genioux facts” recognizes MIT SMR as a remarkable source of golden knowledge.



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genioux Foundational Fact (By Bard):


Managing responsible artificial intelligence (RAI) requires a hybrid approach, with a central team that has accountability for RAI efforts across the organization and with responsibility for RAI also distributed across functions and business units.


genioux Foundational Fact (By Bing Chatbot): 


Establishing an effective Responsible Artificial Intelligence (RAI) management structure requires a central, cross-functional team with accountability for RAI efforts across the organization. This team should include strategic leaders and technical experts from various domains. It’s also crucial to create feedback loops to ensure RAI governance is not a top-down process.


genioux Foundational Fact (By Claude):


An effective RAI management structure requires a hybrid model - a centralized cross-functional team to govern and be accountable for RAI across the organization, complemented by distributed responsibility among business units and functions implementing AI. The centralized team sets standards and strategy while empowering a broad culture of responsibility.


genioux Foundational Fact (By ChatGPT):


Responsible Artificial Intelligence (RAI) management is a multifaceted task that demands careful coordination and governance.



Extra-condensed knowledge:


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10 genioux Facts (By Fernando):


genioux Fact 1: MIT Sloan Management Review and Boston Consulting Group have assembled an international panel of AI experts that includes academics and practitioners to help us gain insights into how responsible artificial intelligence (RAI) is being implemented in organizations worldwide.

genioux Fact 2. As companies increase their use of internally developed and third-party AI tools, including large language models, responsibly managing AI will become a more complicated, broader, and higher-stakes set of activities. 

genioux Fact 3: While half of the panelists agreed or strongly agreed that RAI management should be centralized, the vast majority of panelists — 11 out of 12 — indicated in their responses that managing RAI should be centralized and decentralized.

genioux Fact 4: The Case for Centralizing Management of RAI. A primary function of RAI efforts is to govern the use of AI across the enterprise. As a governance mechanism, RAI helps establish and communicate standards, ensures that standards are followed, cultivates a culture that embraces the responsible use of AI, and provides expertise to support AI product teams.

genioux Fact 5. To deliver on these objectives, panelists encourage the creation of cross-functional or centralized teams. Panelists were consistent in describing the purpose of a centralized team. 

genioux Fact 6. The Case for Hybrid Management: Centralized Accountability, Distributed Responsibility. Even those panelists who responded in the negative shared views that were consistent with having a central team that has ultimate accountability for RAI. Vosloo’s response reflects the view of several panelists: “While there should be a dedicated function that is ultimately accountable for responsible AI, the practice of RAI is a whole-of-organization undertaking. A hybrid approach is thus ideal: a central function, made up of a diverse range of stakeholders in the organization, that relies on responsible practices across multiple functions and business units.”

genioux Fact 7. Business unit and functional leaders who manage AI implementations are de facto managers of RAI implementations. As professor Simon Chesterman of the National University of Singapore says, “Strategic direction and leadership [for RAI] may reside in the C-suite, but operationalizing RAI will depend on those deploying AI solutions to ensure appropriate levels of human control and transparency so that true responsibility is even possible.” 


The Recommendations


For organizations seeking to establish an effective RAI management structure, the authors recommend the following:

genioux Fact 8: Establish a central, cross-functional team that has accountability for RAI efforts across the organization. 

genioux Fact 9: Ensure that centralized teams have a mix of strategic leaders and technical experts from across domains (such as AI development, risk, legal, and infosec). 

genioux Fact 10: Create feedback loops so that RAI governance is not a top-down process. Front-line managers can be a critical source of information about what is and is not working with RAI-related activities.



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REFERENCE




ABOUT THE PANEL


MIT Sloan Management Review and Boston Consulting Group assembled an international panel of more than 20 industry practitioners, academics, researchers, and policy makers to share their views on core issues pertaining to responsible AI. Over the course of five months, we will ask the panelists to answer a question about responsible AI and briefly explain their response. Readers can see all panelist responses and comments in the panel at the bottom of each article and continue the discussion in AI for Leaders, a LinkedIn community designed to foster conversation among like-minded technology experts and leaders.


ABOUT THE AUTHORS


David Kiron is an editorial director at MIT Sloan Management Review and coauthor of the book Workforce Ecosystems: Reaching Strategic Goals With People, Partners, and Technology (MIT Press, 2023). Steven Mills is a managing director and partner at Boston Consulting Group, where he serves as the chief AI ethics officer.




Condensed knowledge:


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Conclusions (By genioux AI Dream Team):


Conclusion (By Bard):


Establishing an effective RAI management structure is essential for ensuring that AI is used responsibly and ethically. By adopting a hybrid approach, organizations can benefit from the expertise and coordination of a central team while also ensuring that RAI is embedded in the day-to-day work of AI development and implementation teams.


Conclusion (By Bing Chatbot): 


The management of RAI is a complex task that requires both centralized oversight and decentralized implementation. By establishing a central team, leveraging diverse expertise, and creating feedback loops, organizations can effectively navigate the complexities of AI usage while ensuring ethical and responsible practices. This approach fosters a culture of responsibility and innovation, ensuring the successful implementation of RAI.


Conclusion (By Claude):


For RAI management to enable both effective governance and embed responsible practices, organizations need centralized teams to lead strategy while distributing day-to-day responsibilities across units. A hybrid model balances standards with adaptability, oversight with empowerment.


Conclusion (By ChatGPT):


In the evolving landscape of AI adoption, managing RAI requires a balanced approach. While a centralized team is essential for establishing standards and providing guidance, a decentralized strategy is necessary to ensure that RAI principles are embedded at the project level and across functions. The synergy between centralized accountability and distributed responsibility empowers organizations to navigate the complexities of responsible AI effectively.


Conclusion (By Fernando): 


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Responsible management of Artificial Intelligence (RAI) is very complex and must be implemented tailored to each organization.


The Future of Work is HI (Human Intelligence)+ AI (Artificial Intelligence)! genioux dream team, AI-powered Chatbots Bard, Bing Chatbot, Claude, and ChatGPT, used responsible wisely illuminate the path to your greatness.


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In the marvelous, complex, and hyper competitive g-f New World, the game is transformation, and you win it with golden knowledge (GK) [g-f(2)1256g-f(2)1257g-f(2)1258g-f(2)1259g-f(2)1260g-f(2)1261g-f(2)1262g-f(2)1263g-f(2)1264g-f(2)1265g-f(2)1266g-f(2)1267g-f(2)1268g-f(2)1269g-f(2)1270g-f(2)1271g-f(2)1272g-f(2)1273g-f(2)1274g-f(2)1275g-f(2)1276g-f(2)1277g-f(2)1278g-f(2)1279g-f(2)1280g-f(2)1281g-f(2)1282g-f(2)1283g-f(2)1284g-f(2)1285g-f(2)1286, g-f(2)1287g-f(2)1288g-f(2)1289g-f(2)1290g-f(2)1291g-f(2)1292g-f(2)1293g-f(2)1294g-f(2)1295g-f(2)1296g-f(2)1297g-f(2)1298g-f(2)1299g-f(2)1300g-f(2)1301g-f(2)1302g-f(2)1303g-f(2)1304g-f(2)1305g-f(2)1306g-f(2)1307, g-f(2)1308g-f(2)1309f-f(2)1310g-f(2)1311g-f(2)1312, g-f(2)1313g-f(2)1314g-f(2)1315g-f(2)1316g-f(2)1317, g-f(2)1318g-f(2)1319g-f(2)1320g-f(2)1321g-f(2)1322g-f(2)1323g-f(2)1324g-f(2)1325g-f(2)1326g-f(2)1327g-f(2)1328g-f(2)1329g-f(2)1330g-f(2)1331g-f(2)1332g-f(2)1333g-f(2)1334g-f(2)1335g-f(2)1336g-f(2)1337g-f(2)1338g-f(2)1339g-f(2)1340g-f(2)1341g-f(2)1342g-f(2)1343g-f(2)1344g-f(2)1345g-f(2)1346g-f(2)1347g-f(2)1348g-f(2)1349g-f(2)1350g-f(2)1351g-f(2)1352g-f(2)1353g-f(2)1354g-f(2)1355g-f(2)1356g-f(2)1357g-f(2)1358g-f(2)1359g-f(2)1360g-f(2)1361g-f(2)1362]


Each human has the amazing opportunity to add to his team in the path to greatness the four 4 musketeers of the "genioux facts" AI-powered chatbot dream team, BardBing ChatbotClaude, and ChatGPT [g-f(2)1262]. They are extraordinarily brilliant, wise, kind, and ready to help you to grow without limits. 



Some relevant characteristics of this "genioux Fact"

  • Type: BREAKING KNOWLEDGE
  • Category 2: The Big Picture of the Digital Age
    • The Lighthouse of the Big Picture of the Digital Age
      • The "Positive Disruption: AI Revolution" has accelerated
    • The internal title
      • Daily g-f Fishing GK: Managing RAI (By Fernando and genioux AI Dream Team)
  • [genioux fact deduced or extracted from geniouxfacts + Bard + Bing Chatbot, Claude + ChatGPT]
  • This is a “genioux fact fast solution.”
  • Tag "GkPath" highway
    • GKPath is the highway where there is no speed limit to grow. 
    • GkPath is paved with blocks of GK.
    • "genioux facts", the online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, builds The Golden Knowledge Path (GKPath) digital freeway to accelerate everyone's success in the digital age.
  • Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
  • Type of validity of the "genioux fact". 

  • Inherited from sources + Supported by the knowledge of one or more experts.



References



genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)1364, Fernando MachucaBardBing ChatbotClaude, and ChatGPT, September 25, 2023, Genioux.com Corporation.


ABOUT THE AUTHORS


PhD with awarded honors in computer science in France

Fernando is the director of "genioux facts". He is the entrepreneur, researcher and professor who has a nondisruptive proposal in The Digital Age to improve the world and reduce poverty + ignorance + violence. A critical piece of the solution puzzle is "genioux facts"The Innovation Value of "genioux facts" is exceptional for individuals, companies and any kind of organization.




Meet the Architects of Golden Knowledge



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Bard: The Visionary Voyager 🌟
Bard is our poetic sage, crafting wisdom into words that resonate with the soul. With a penchant for unraveling the profound, Bard navigates the seas of knowledge with eloquence and insight.

Bing Chatbot: The Analytical Alchemist 🧪
Bing Chatbot is our data wizard, turning information into actionable insights. With a keen eye for patterns and a thirst for discovery, Bing unlocks the secrets hidden within the data.

Claude: The Creative Cartographer 🗺️
Claude is our artistic intellect, drawing maps to new realms of understanding. With boundless creativity, Claude charts unexplored territories of thought and imagination.

ChatGPT: The Conversational Cognoscente 💬
ChatGPT is our conversational maestro, bridging the gap between knowledge and understanding. With the power of language, ChatGPT communicates, clarifies, and connects.




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