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Smart Systems, Smarter Engineers | Asst. Prof. Jaysern Jia Yew Pang | TEDxPOWIIS Youth
TEDx Talks· 2025-07-29 15:59
AI and Engineering Landscape - AI is rapidly transforming various aspects of life, from personalized recommendations to predictive maintenance [1][4][5][14][15][16] - The integration of AI raises concerns about job displacement for engineers and the need for continuous upskilling [7][11] - Engineers play a crucial role in designing AI systems with ethics, logic, and empathy, ensuring they benefit humanity [9][12][18][19] - AI is smart but lacks wisdom, highlighting the importance of human oversight and ethical considerations in AI development [18][19] Essential Skills for Engineers in the AI Era - Critical thinking is paramount for engineers to approach problems from different perspectives and innovate [21][22] - Creativity is essential for transforming dreams into innovative solutions [23] - Collaboration is crucial for engineers from diverse fields to work together effectively [24][25] - Communication skills are vital for conveying ideas, solving problems, and programming AI systems [25][26] Real-world Applications and Future Outlook - AI can be used to monitor driver behavior in real-time to prevent accidents [27][30] - A project to monitor driver behavior is expected to be commercialized within 6 months, with 97,000 ringgit awarded by the Malaysian Communications and Multimedia Commission (MCMC) [28] - Malaysia needs 30,000 more engineers in the next 10 years, with 508% of students taking STEM educations [31]
How a Passion for Food Built Bangladesh’s Beloved Restaurant Empire | A.K.M Lutfur Rahman | TEDxCOU
TEDx Talks· 2025-07-29 15:41
[মিউজিক] বাস্তব আর স্বপ্ন কিছু সময় আগেও বা কিছু ঘন্টা আগেও আমার স্বপ্ন ছিল এটা হন আমি যদি কিছু বলতাম আমাকে যখন এইজন্য মনোনয়ন দেয়া হলো আমি চিন্তা করলাম যে আমি তো ভাতের ব্যবসা করি রাস্তার পাশে ভাত বিক্রি করি আমার আবার কি বলার আছে ওরা আমাকে বলল জন্য আমি কিছু বলতেই হবে তখন আমার একটা স্বপ্ন থেকে ফেল আমি কিছু বলবো আর এখন বাস্টার স্বপ্নটাই আমার বাসটা হল যে আমি বলতেছি আমার কুমিল্লা জেলার উপজেলায় এলাকায় আমার বাড়ি আমার নাম এত বুফুর রহমান আমরা পীর ভাই বাবা সরকারি চাকরি করতেন মা এখনো আমাদের সাথে ছায়ার মত আছে এই রেস্ ...
X @Forbes
Forbes· 2025-07-26 10:46
Ethics & Compliance - Alexandria Ocasio-Cortez violated House rules during Met Gala appearance [1] Legal & Regulatory - Ethics Committee investigated and made the determination of violation [1]
X @Forbes
Forbes· 2025-07-26 03:46
Alexandria Ocasio-Cortez Violated House Rules During Met Gala Appearance, Ethics Committee Says https://t.co/WHh51vUusA https://t.co/WHh51vUusA ...
X @Forbes
Forbes· 2025-07-25 18:26
Alexandria Ocasio-Cortez Violated House Rules During Met Gala Appearance, Ethics Committee Says https://t.co/p1wzx9fUyT https://t.co/p1wzx9fUyT ...
Exploring the Shades of Grey in Morality | Alejandra Garcia | TEDxYouth@TashkentIntlSchool
TEDx Talks· 2025-07-25 14:58
I want you to think about this question. Is it ever justifiable to break the law for a greater good. Hopefully, you've never had to think of an issue like this before.But if we explore these questions, they lead us in a number of interesting directions. We humans from the beginning of time have been a mixture of the good and the bad. Me want your cave. Me hit you with rock and take your cave.Now mom's cave. This is just how we are made. You can watch any 2-year-old with a new toy for proof of this.You have ...
X @Forbes
Forbes· 2025-07-24 18:25
Donald Trump wasn’t making much from foreign deals. Then he regained power and set aside the pretense that he cared about ethics. https://t.co/gmOelOWDwz ...
Biased AI is Already Deciding Your Future | Chioma Onyekpere | TEDxWinnipeg
TEDx Talks· 2025-07-24 15:31
AI Bias & Fairness - AI systems mimic human intelligence, learning from data to make classifications and predictions [6][8] - Bias in AI arises from non-diverse or incomplete data, leading to unfair or discriminatory outcomes [3][4] - AI amplifies existing inequalities by reflecting and perpetuating biases present in the data it's trained on [18] - Assumptions about identity are not valid data, yet AI learns from these assumptions if they are included in the training data [3][4] Examples of AI Bias - Applicant tracking systems can penalize resumes based on gendered language due to biased training data [12][13] - Facial recognition systems misidentify African and Asian faces more frequently than white faces [14] - Voice assistants misunderstand non-white speakers nearly twice as often as white speakers, with error rates up to 35% [16] - Insurance algorithms may charge higher premiums to certain demographics based on biased risk models [16][17] Addressing AI Bias - It is crucial to question the data used to train AI, ensuring it represents the entire population [19] - Building diverse teams can help recognize and identify biases that others might miss [19] - Organizations should set ethical guidelines and audit AI systems for bias, making fairness a performance metric [19][20] - Transparency in AI systems is essential, with models providing citations and reasoning for their decisions [21]
'Can't fake her way through this': Fmr. DOJ atty on Pam Bondi amid Epstein files fallout
MSNBC· 2025-07-15 04:08
former federal prosecutor and senior writer for political magazine on Kushkadori and Liz Oyer a former justice department pardon attorney. You could say this is all mega drama and it's happening over there and it's a sideshow except for the fact that the mega drama is happening inside the department of justice which means that it has implications for all Americans. What do you see as the stakes of what's going on right now.You know, I think all of this is bad enough within its four corners. you know, either ...
Evidence Over Obedience | Ellie Sun | TEDxYouth@YCYWShanghai
TEDx Talks· 2025-07-08 15:28
[Music] Right. Before I begin my presentation, quick show of hands. How many of you have followed an order in the past 24 hours. Hands up if you have followed any sort of order.Right. Hands down. Now take a moment to think what was the order.I have a shocking statistic for you all today that reveals some disturbing nature about humans. Did you know that 65% people were willing to shock a stranger. That came from Mgrim's 1963 experiment.It was considered controversial as he studied how ordinary people would ...