Re thinking regulation at the age of AILofred Madzou
This is a presentation of the keynote that Lofred Madzou (AI Project Lead at the World Economic Forum) gave on October 14th at the Instituto Nacional de Defensa de la Competencia y la Propiedad Intelectual (INDECOPI) in Lima. It presents some of the most important policy challenges associated with the development of means to address them.
AI for Nonprofits_Exploring the News_ Creative Use and ChallengesCynthia Calongne
AI for Nonprofits, a presentation by Dr. Cynthia Calongne for the Nonprofit Commons in Second Life. Features benefits, challenges, and AI news to illustrate ethical and safe use of AI for nonprofit organizations.
[2018] Tech Trends For Journalism and Media – The Future Today InstituteFilipp Paster
Key Takeaways
2018 marks the beginning of the end of smartphones in the world's largest economies. What's coming next are conversational interfaces with zero-UIs. This will radically change the media landscape, and now is the best time to start thinking through future scenarios.
In 2018, a critical mass of emerging technologies will converge finding advanced uses beyond initial testing and applied research. That’s a signal worth paying attention to. News organizations should devote attention to emerging trends in voice interfaces, the decentralization of content, mixed reality, new types of search, and hardware (such as CubeSats and smart cameras).
Journalists need to understand what artificial intelligence is, what it is not, and what it means for the future of news. AI research has advanced enough that it is now a core component of our work at FTI. You will see the AI ecosystem represented in many of the trends in this report, and it is vitally important that all decision-makers within news organizations familiarize themselves with the current and emerging AI landscapes. We have included an AI Primer For Journalists in our Trend Report this year to aid in that effort.
Decentralization emerged as a key theme for 2018. Among the companies and organizations FTI covers, we discovered a new emphasis on restricted peer-to-peer networks to detect harassment, share resources and connect with sources. There is also a push by some democratic governments around the world to divide internet access and to restrict certain content, effectively creating dozens of “splinternets.”
Consolidation is also a key theme for 2018. News brands, broadcast spectrum, and artificial intelligence startups will continue to be merged with and acquired by relatively few corporations. Pending legislation and policy in the U.S., E.U. and in parts of Asia could further concentrate the power among a small cadre of information and technology organizations in the year ahead.
To understand the future of news, you must pay attention to the future of many industries and research areas in the coming year. When journalists think about the future, they should broaden the usual scope to consider developments from myriad other fields also participating in the knowledge economy. Technology begets technology. We are witnessing an explosion in slow motion.
Re thinking regulation at the age of AILofred Madzou
This is a presentation of the keynote that Lofred Madzou (AI Project Lead at the World Economic Forum) gave on October 14th at the Instituto Nacional de Defensa de la Competencia y la Propiedad Intelectual (INDECOPI) in Lima. It presents some of the most important policy challenges associated with the development of means to address them.
AI for Nonprofits_Exploring the News_ Creative Use and ChallengesCynthia Calongne
AI for Nonprofits, a presentation by Dr. Cynthia Calongne for the Nonprofit Commons in Second Life. Features benefits, challenges, and AI news to illustrate ethical and safe use of AI for nonprofit organizations.
[2018] Tech Trends For Journalism and Media – The Future Today InstituteFilipp Paster
Key Takeaways
2018 marks the beginning of the end of smartphones in the world's largest economies. What's coming next are conversational interfaces with zero-UIs. This will radically change the media landscape, and now is the best time to start thinking through future scenarios.
In 2018, a critical mass of emerging technologies will converge finding advanced uses beyond initial testing and applied research. That’s a signal worth paying attention to. News organizations should devote attention to emerging trends in voice interfaces, the decentralization of content, mixed reality, new types of search, and hardware (such as CubeSats and smart cameras).
Journalists need to understand what artificial intelligence is, what it is not, and what it means for the future of news. AI research has advanced enough that it is now a core component of our work at FTI. You will see the AI ecosystem represented in many of the trends in this report, and it is vitally important that all decision-makers within news organizations familiarize themselves with the current and emerging AI landscapes. We have included an AI Primer For Journalists in our Trend Report this year to aid in that effort.
Decentralization emerged as a key theme for 2018. Among the companies and organizations FTI covers, we discovered a new emphasis on restricted peer-to-peer networks to detect harassment, share resources and connect with sources. There is also a push by some democratic governments around the world to divide internet access and to restrict certain content, effectively creating dozens of “splinternets.”
Consolidation is also a key theme for 2018. News brands, broadcast spectrum, and artificial intelligence startups will continue to be merged with and acquired by relatively few corporations. Pending legislation and policy in the U.S., E.U. and in parts of Asia could further concentrate the power among a small cadre of information and technology organizations in the year ahead.
To understand the future of news, you must pay attention to the future of many industries and research areas in the coming year. When journalists think about the future, they should broaden the usual scope to consider developments from myriad other fields also participating in the knowledge economy. Technology begets technology. We are witnessing an explosion in slow motion.
The State of Artificial Intelligence in the Nonprofit SectorData Con LA
Data Con LA 2020
Description
Artificial Intelligence (AI) is still nascent in the nonprofit sector but is rapidly growing. PwrdBy's team created the largest current state report on where AI is happening in the nonprofit sector. This talk will focus on findings from the research, which include current practitioner perceptions of AI, a meta-analysis on current AI technologies being used for good, and a discussion on the future of nonprofit AI. The research is built leveraging primary research and the diffusion of innovation theory, focusing the research on how new innovation spread throughout communities.
Takeaways from the talk:
*Current nonprofit practitioners perspectives on AI
*Current state of AI projects and companies in the sector
*AI Investment trends in the nonprofit sector
*The near-term future of AI
Speaker
Jared Sheehan, PwrdBy, CEO & Co-Founder
Stanford University: Artificial Intelligence Index Report, 2021
The AI Index is an effort to track, collate, distill and visualize data relating to artificial intelligence. It aspires to be a comprehensive resource of data and analysis for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI.
Source: https://aiindex.stanford.edu/wp-content/uploads/2021/03/2021-AI-Index-Report_Master.pdf
A comprehensive review of AI use within the public relations profession.
At time of writing (February 2023), there’s been a burst of new AI-driven tools, services and use cases with the potential to impact virtually every aspect of the public relations profession.
This report is an attempt to assess the likely rapid progress of AI technology over the next year and the longer-term strategic considerations for all public relations practitioners as a result.
Co-authored by Andrew Bruce Smith and Stephen Waddington, with contributions from Professor Anne Gregory, Jean Valin and Scott Brinker.
[DSC Adria 23] MARIJANA ŠAROLIĆ ROBIĆ Everyone is invited to AI enhanced pres...DataScienceConferenc1
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AI ML 2023 Measuring Trends Analysis by Stanford UniversityIke Alisson
This year, the Stanford Institute for Human-Centered Artificial Intelligence (HAI) 386 pages Report introduces more original data than any previous edition, including a new Chapter on AI Public Opinion, a more thorough Technical Performance Chapter, Original Analysis about Large Language and Multimodal Models, detailed Trends in Global AI Legislation Records, a Study of the Environmental Impact of AI Systems, and more. On the "success" of AI ML on the Market, w.r.t. Chapter 4, indicating: "Corporate Investment (Mergers/Acquisitions, Minority Stakes, Private Investment, & Public Offerings) dipped in 2022 to 190 billion from 2021 amount of 276 billion highs, but the number has still increased 13-fold in the last decade. The Biggest Investment event of the Year was the Nuance Communications acquisition; the Computer SW Tech Company was picked up by Microsoft for $19.7 billion."
The AI Index 2023 Annual Report by Stanford University.pdfAI Geek (wishesh)
Top Ten Takeaways
1. Industry now leads in machine learning model production, with 32 significant models in 2022 compared to academia's three. Industry has more resources like data, computing power, and funding.
2. AI performance on traditional benchmarks is reaching saturation, showing marginal year-over-year improvements. New, more comprehensive benchmarking suites like BIG-bench and HELM are emerging.
3. AI has environmental impacts, with some models emitting significant carbon emissions. However, newer models like BCOOLER show potential for optimizing energy usage.
4. AI is accelerating scientific progress, contributing to advancements in fields like hydrogen fusion, matrix manipulation efficiency, and antibody generation.
5. Incidents of AI misuse are increasing, with 26 times more reported cases since 2012. Examples include deepfake videos and invasive use of call-monitoring technology in U.S. prisons.
6. Demand for AI-related skills is rising across various American industries, except for agriculture, forestry, fishing, and hunting.
7. Private investment in AI decreased by 26.7% in 2022, marking the first decline in the last decade. However, overall AI investment has seen significant growth since 2013.
8. While the proportion of companies adopting AI has plateaued at 50-60%, those that have adopted it are experiencing cost reductions and revenue increases.
9. Policymaker interest in AI is on the rise globally, with a notable increase in bills containing "artificial intelligence" passed into law from 2016 to 2022.
10. Chinese citizens have a highly positive view of AI products and services, with 78% believing in their benefits. In contrast, only 35% of sampled Americans share this sentiment.
the foreword written by Brad Smith for Microsoft’s report Governing AI: A Blueprint for India. The first part of the report details five ways India could consider policies, laws, and regulations around AI. The second part focuses on Microsoft’s internal commitment to ethical AI, showing how the company is both operationalizing and building a culture of responsible AI. The final part shares case studies from India demonstrating how AI is already helping address major societal issues in the country.
Revolutionizing L&D: Harnessing the Power of AI to Empower Tomorrow's WorkforceStella Lee
Keynote Address at L&D Talk 2023, Brussels, Belgium: This presentation examines the dynamic realm of Artificial Intelligence, placing particular focus on General Artificial Intelligence (GAI). It discusses strategies for Learning and Development professionals to adapt and integrate this cutting-edge technology effectively into their operational frameworks.
Présentation du concept de "Market Intelligence" faite aux étudiants du IBI International Trade Executive Programme ce samedi 19 octobre 2013 à Spa Balmoral.
(NB: Certaines planches ont été supprimées ou "nettoyées" pour des raisons évidentes de confidentialité).
Slides from a workshop exploring "How is AI changing journalism?"
This presentation outlines how newsrooms have been using artificial intelligence (AI) for some time, and how the emergence of Generative AI is accelerating this usage. The presentation outlines use cases, key steps for implementation and some emerging areas and issues to keep an eye on.
The presentation was part of the New York Press Association's 2024 spring conference.
https://nynewspapers.com/2024-nypa-spring-conference/
this is the presentation about the artificial intelligence . this will help people to understand about the artificial intelligence . this is developed for students to learn something about the artificial intelligence.the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
The State of Artificial Intelligence in the Nonprofit SectorData Con LA
Data Con LA 2020
Description
Artificial Intelligence (AI) is still nascent in the nonprofit sector but is rapidly growing. PwrdBy's team created the largest current state report on where AI is happening in the nonprofit sector. This talk will focus on findings from the research, which include current practitioner perceptions of AI, a meta-analysis on current AI technologies being used for good, and a discussion on the future of nonprofit AI. The research is built leveraging primary research and the diffusion of innovation theory, focusing the research on how new innovation spread throughout communities.
Takeaways from the talk:
*Current nonprofit practitioners perspectives on AI
*Current state of AI projects and companies in the sector
*AI Investment trends in the nonprofit sector
*The near-term future of AI
Speaker
Jared Sheehan, PwrdBy, CEO & Co-Founder
Stanford University: Artificial Intelligence Index Report, 2021
The AI Index is an effort to track, collate, distill and visualize data relating to artificial intelligence. It aspires to be a comprehensive resource of data and analysis for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI.
Source: https://aiindex.stanford.edu/wp-content/uploads/2021/03/2021-AI-Index-Report_Master.pdf
A comprehensive review of AI use within the public relations profession.
At time of writing (February 2023), there’s been a burst of new AI-driven tools, services and use cases with the potential to impact virtually every aspect of the public relations profession.
This report is an attempt to assess the likely rapid progress of AI technology over the next year and the longer-term strategic considerations for all public relations practitioners as a result.
Co-authored by Andrew Bruce Smith and Stephen Waddington, with contributions from Professor Anne Gregory, Jean Valin and Scott Brinker.
[DSC Adria 23] MARIJANA ŠAROLIĆ ROBIĆ Everyone is invited to AI enhanced pres...DataScienceConferenc1
Recent development in technology led to AI being in the spotlight of general public and media. Some of us are terrified, some of us surprised, some excited by such technology shifts. However, what is the actual status of AI regulatory framework in EU and what are the key concerns for AI startups and SMEs implementing AI in their products and services. Let us find out together.
AI ML 2023 Measuring Trends Analysis by Stanford UniversityIke Alisson
This year, the Stanford Institute for Human-Centered Artificial Intelligence (HAI) 386 pages Report introduces more original data than any previous edition, including a new Chapter on AI Public Opinion, a more thorough Technical Performance Chapter, Original Analysis about Large Language and Multimodal Models, detailed Trends in Global AI Legislation Records, a Study of the Environmental Impact of AI Systems, and more. On the "success" of AI ML on the Market, w.r.t. Chapter 4, indicating: "Corporate Investment (Mergers/Acquisitions, Minority Stakes, Private Investment, & Public Offerings) dipped in 2022 to 190 billion from 2021 amount of 276 billion highs, but the number has still increased 13-fold in the last decade. The Biggest Investment event of the Year was the Nuance Communications acquisition; the Computer SW Tech Company was picked up by Microsoft for $19.7 billion."
The AI Index 2023 Annual Report by Stanford University.pdfAI Geek (wishesh)
Top Ten Takeaways
1. Industry now leads in machine learning model production, with 32 significant models in 2022 compared to academia's three. Industry has more resources like data, computing power, and funding.
2. AI performance on traditional benchmarks is reaching saturation, showing marginal year-over-year improvements. New, more comprehensive benchmarking suites like BIG-bench and HELM are emerging.
3. AI has environmental impacts, with some models emitting significant carbon emissions. However, newer models like BCOOLER show potential for optimizing energy usage.
4. AI is accelerating scientific progress, contributing to advancements in fields like hydrogen fusion, matrix manipulation efficiency, and antibody generation.
5. Incidents of AI misuse are increasing, with 26 times more reported cases since 2012. Examples include deepfake videos and invasive use of call-monitoring technology in U.S. prisons.
6. Demand for AI-related skills is rising across various American industries, except for agriculture, forestry, fishing, and hunting.
7. Private investment in AI decreased by 26.7% in 2022, marking the first decline in the last decade. However, overall AI investment has seen significant growth since 2013.
8. While the proportion of companies adopting AI has plateaued at 50-60%, those that have adopted it are experiencing cost reductions and revenue increases.
9. Policymaker interest in AI is on the rise globally, with a notable increase in bills containing "artificial intelligence" passed into law from 2016 to 2022.
10. Chinese citizens have a highly positive view of AI products and services, with 78% believing in their benefits. In contrast, only 35% of sampled Americans share this sentiment.
the foreword written by Brad Smith for Microsoft’s report Governing AI: A Blueprint for India. The first part of the report details five ways India could consider policies, laws, and regulations around AI. The second part focuses on Microsoft’s internal commitment to ethical AI, showing how the company is both operationalizing and building a culture of responsible AI. The final part shares case studies from India demonstrating how AI is already helping address major societal issues in the country.
Revolutionizing L&D: Harnessing the Power of AI to Empower Tomorrow's WorkforceStella Lee
Keynote Address at L&D Talk 2023, Brussels, Belgium: This presentation examines the dynamic realm of Artificial Intelligence, placing particular focus on General Artificial Intelligence (GAI). It discusses strategies for Learning and Development professionals to adapt and integrate this cutting-edge technology effectively into their operational frameworks.
Présentation du concept de "Market Intelligence" faite aux étudiants du IBI International Trade Executive Programme ce samedi 19 octobre 2013 à Spa Balmoral.
(NB: Certaines planches ont été supprimées ou "nettoyées" pour des raisons évidentes de confidentialité).
Slides from a workshop exploring "How is AI changing journalism?"
This presentation outlines how newsrooms have been using artificial intelligence (AI) for some time, and how the emergence of Generative AI is accelerating this usage. The presentation outlines use cases, key steps for implementation and some emerging areas and issues to keep an eye on.
The presentation was part of the New York Press Association's 2024 spring conference.
https://nynewspapers.com/2024-nypa-spring-conference/
this is the presentation about the artificial intelligence . this will help people to understand about the artificial intelligence . this is developed for students to learn something about the artificial intelligence.the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
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AI and Journalism newsroom talk: Politico June 2020
1. New powers,
new responsibilities
What can AI technologies do for your
journalism?
Prof Charlie Beckett
Director of Polis, LSE
@CharlieBeckett
Politico, Brussels, March 2020
4. Artificial Intelligence
A collection of ideas, technologies, and techniques
that relate to a computer system’s capacity to perform
tasks normally requiring human intelligence.
Source: Reuters Institute for the Study of Journalism
5. What future for AI in news?
How are journalists and news organisations adapting to AI technologies?
What are the challenges and opportunities they present?
What are the financial, ethical, and editorial implications?
6. 71 news organisations from 32 countries
The Journalism AI global survey
Source: The Journalism AI Report
8. ➢ News gathering
➢ News production
➢ News distribution
What is AI
for news?
9. A strategy for AI ?
Source: The Journalism AI Report
37% have an AI strategy
63% don’t have an AI strategy
10. Strategic challenges to AI adoption
Source: The Journalism AI Report
Lack of resources & willingness to invest
Lack of skills & challenges in hiring talent
Skepticism towards technology & fear of losing jobs
Cultural issues & gaps between departments
Lack of knowledge & understanding of AI
Lack of strategy and direction
11. 1️⃣ Identify your stage and state of AI readiness
Key steps to approach AI
Source: The Journalism AI Report
12. 1️⃣ Identify your stage and state of AI readiness
2️⃣ Understand the different kind of AI technologies available
Key steps to approach AI
Source: The Journalism AI Report
13. 1️⃣ Identify your stage and state of AI readiness
2️⃣ Understand the different kind of AI technologies available
3️⃣ Reflect on what problems you are trying to solve with AI
Key steps to approach AI
Source: The Journalism AI Report
14. 1️⃣ Identify your stage and state of AI readiness
2️⃣ Understand the different kind of AI technologies available
3️⃣ Reflect on what problems you are trying to solve with AI
4️⃣ Identify what areas of your organisation might be helped by AI and how
Key steps to approach AI
Source: The Journalism AI Report
15. 1️⃣ Identify your stage and state of AI readiness
2️⃣ Understand the different kind of AI technologies available
3️⃣ Reflect on what problems you are trying to solve with AI
4️⃣ Identify what areas of your organisation might be helped by AI and how
5️⃣ Identify key obstacles and plan how to address them in a systematic way
Key steps to approach AI
Source: The Journalism AI Report
16. 1️⃣ Identify your stage and state of AI readiness
2️⃣ Understand the different kind of AI technologies available
3️⃣ Reflect on what problems you are trying to solve with AI
4️⃣ Identify what areas of your organisation might be helped by AI and how
5️⃣ Identify key obstacles and plan how to address them in a systematic way
6️⃣ Establish clear roles and responsibilities across the organisation
Key steps to approach AI
Source: The Journalism AI Report
17. 1️⃣ Identify your stage and state of AI readiness
2️⃣ Understand the different kind of AI technologies available
3️⃣ Reflect on what problems you are trying to solve with AI
4️⃣ Identify what areas of your organisation might be helped by AI and how
5️⃣ Identify key obstacles and plan how to address them in a systematic way
6️⃣ Establish clear roles and responsibilities across the organisation
7️⃣ Pick one or more projects to experiment with and start small
Key steps to approach AI
Source: The Journalism AI Report
18. Predicting the success of content with AI
https://blogs.lse.ac.uk/polis/2020/02/18/predicting-the-success-of-news-
content/
19. Editorial & Ethical implications
Source: The Journalism AI Report
⚠️ Savings or investments ?
20. Editorial & Ethical implications
Source: The Journalism AI Report
⚠️ Savings or investments ?
⚠️ Misinformation
21. Editorial & Ethical implications
Source: The Journalism AI Report
⚠️ Savings or investments ?
⚠️ Misinformation
⚠️ Artificial vs Human intelligence
22. Editorial & Ethical implications
Source: The Journalism AI Report
⚠️ Savings or investments ? ⚠️ Algorithmic bias
⚠️ Misinformation
⚠️ Artificial vs Human intelligence
23. Editorial & Ethical implications
Source: The Journalism AI Report
⚠️ Savings or investments ? ⚠️ Algorithmic bias
⚠️ Misinformation ⚠️ Transparency
⚠️ Artificial vs Human intelligence
24. Editorial & Ethical implications
Source: The Journalism AI Report
⚠️ Savings or investments ? ⚠️ Algorithmic bias
⚠️ Misinformation ⚠️ Transparency
⚠️ Artificial vs Human intelligence ⚠️ The role of tech companies
25. Thoughts on the way forward
Source: The Journalism AI Report
🔄 Changes to structures and culture
26. Thoughts on the way forward
Source: The Journalism AI Report
🔄 Changes to structures and culture
📖 Need for education and training
27. Thoughts on the way forward
Source: The Journalism AI Report
🔄 Changes to structures and culture
📖 Need for education and training
Potential for collaboration
(between news organisations &
with research institutions)
29. What we are doing now
More training courses on specific skills, tools and systems
Collaborative experiment with 20+ news organisations to meet
newsroom challenges
Network of 1000+ journalists around the world
30. Thank You
Prof Charlie Beckett
Director of Polis, LSE
@CharlieBeckett
C.H.Beckett@lse.ac.uk