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D & J BROWN IDIOMAS Data on statistics during interviews about AI and the fear of AI 2017 - 2023 (2)

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Abstract

This study investigates the knowledge and perceptions of AI, agents in AI, and AI communities among 6295 participants interviewed by the director of ethics at D & J IDIOMAS between 2017 and 2023. Verbal consent was obtained, and participants were informed about the purpose of the study, including the recording of their answers for publication. Findings reveal a low understanding of AI, AI agents, and AI communities before an explanatory session. After the explanation, knowledge increased, but fears about job loss and the potential threat of autonomous AI intensified. The study underscores the importance of education on AI and advocates for awareness programs to address misconceptions and fears among participants. A PDF of the studies and results is included in the findings.
Categories Values
Total Participants Surveyed 6295
BEFORE THE EXPLANATION
Number of participants who said they knew what AI was 2,259
They did not know what AI was 4036
They did not know what Agents were 6,268
They knew what agents were 27
They did not know what AI communities were 6,294
They knew what AI communities were 1
FEAR OF AI (BEFORE)
Not afraid about AI before explanation 4,895
Feared Developments before explanation 291
Said they did not have any feelings about AI before. 1109
Of the 4895 on B14, #Of people said AI Not Advanced Enough to Pose Threat 1756
AFTER THE EXPLANATION AI KNOWLEDGE PIE
Number of Participants who claimed to know what AI was after the explanation 6215
Continued to Deny knowledge of what AI was 80
FEAR OF AI (AFTER)
Feared developments after explanation: fear of losing their jobs 3890
Not worried (after explanation) 1,498
Were not sure about AI as long as it was controlled 907
Felt AI was a threat after explanation 3890
Felt AI was a threat if it could learn on its own without control 6013
Felt AI was not intelligent enough to be a threat, and/or that AI did not "think". 282
AI AGENT KNOWLEDGE PIE
AI COMMUNITY KNOWLEDGE - 1/6295
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AFTER THE EXPLANATION
In April of 2017, D & J BROWN IDIOMAS LTDA 40.461.953/0001-71 160.023-8 began inspecting clients from around the world using the Preply.com interface, recording the answers from 6295 participants.
In September of 2023, the collection of data stopped revealing current state of data.
Process: In a 1 hour interveiw, participants were asked various questions about life, work, and general questions during evaluation of their english knowledge.
The questions included questions about AI:
Do you know what AI is?
Have you ever heard of Agents in AI?
Are you worried about AI?
After recording results, participants were asked about their jobs, locations, and experience.
Then, during the interview, this explanation was given:
AI is not a computer, it is a program that can run on computers.
It can learn things by taking in data, looking for patterns, identifying those patterns, and then matching those patterns with other patterns.
This gives AI the ability to see things that humans may overlook.
An Agent is a particular AI that works to do specific tasks related to specific inputs.
Some agents know more than other Agents.
Have you ever heard of DNC (AI agent communities, and do you know what they are?
The reactions of participants about the Agents in communities was much different than the reaction of agents working alone.
Then another set of questions was asked:
Do you think you understand what AI is now?
Are you afraid of what AI can do now that you know?
What if the right, or wrong people controlled AI?
What if AI could learn by itself and act by itself on that?
In conclusion, the level of understanding about AI was relatively low amoung the participants, AI agents was extremely low, and the knowledge of AI communiities, with the exception of 1 software ML expert, was non existent.
The fear level of people immediately rose once they were alreted to AI, agents, and coommunities of Agents working in tandum to create a larger AI base.
Some participants asked if the interviewer thought they should get new jobs. This was noted (1063 times), but was not the target of the interview.
Many participants (903) refused to believe AI could be creative.
Of the programmers spoken to (1292), 621 believed that AI would not replace them ever.
Of the artists (51), 50 believed they would not be replaced, but 100% of them feared AI and what it would do if it were not controlled
The rest of the pool of participants identified as Doctors, lawyers, and writers.
3115 of the participants claimed to be students
Experiment Findings
Full-text available
This study investigates the knowledge and perceptions of AI, agents in AI, and AI communities among 6295 participants interviewed by the director of ethics at D & J IDIOMAS between 2017 and 2023. Verbal consent was obtained, and participants were informed about the purpose of the study, including the recording of their answers for publication. Findings reveal a low understanding of AI, AI agents, and AI communities before an explanatory session. After the explanation, knowledge increased, but fears about job loss and the potential threat of autonomous AI intensified. The study underscores the importance of education on AI and advocates for awareness programs to address misconceptions and fears among participants. A PDF of the studies and results is included in the findings.
Preprint
Full-text available
This comprehensive analysis fleshes into the multifaceted landscape of autonomous shipping, artificial intelligence (AI) integration, and maritime cybersecurity. The document explores historical reflections on maritime evolution, navigates the implications of autonomy in maritime operations, considers the convergence of terrains in transportation, and emphasizes the importance of global security and international collaboration. The integration of advanced AI tools, such as GPT-core agents, RAG-Fusion, ChatDev, AutoGPT, Autogen, MAMBA-core agents, Mind Reading AI, collective AI communities, and Hive-AI, is thoroughly examined for its transformative potential in the maritime industry. The document identifies key challenges and opportunities, ranging from psychological and societal impacts to economic considerations and geopolitical complexities. It highlights the need for stakeholder engagement, case studies, regulatory frameworks, environmental assessments, economic analyses, and a more profound exploration of ethical considerations. While providing valuable insights, the research acknowledges certain limitations, including a potential over-reliance on AI, geopolitical considerations, economic implications, and practical implementation challenges. The analysis concludes by emphasizing the importance of a collaborative approach among policymakers, maritime professionals, and technology developers to navigate the challenges and harness the opportunities in autonomous shipping. Through a judicious mix of technology, collaboration, and foresight, the maritime industry is poised to set sail towards a horizon filled with innovation, security, and sustainable growth.
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