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Ethical Aspects of Artificial Intelligence: Challenges and Imperatives
In the rapidly evolving domain of Artificial Intelligence (AI), the intersection of technology and ethics has become a critical area of concern. AI, defined broadly as the capability of machines to mimic human cognitive functions such as learning, problem-solving, and decision-making, has permeated various aspects of our daily lives, from healthcare and education to finance…- Published on
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If you search for tech experts who can validate your business idea and provide MVP development services before launching a new digital product, or maybe you think of transforming your existing IT infrastructure to automate business workflows. In any case, you’ll find our research and expert opinion valuable to understand the advantages and disadvantages of… -
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So, you thought AI could replace your dev team? How’s that going? 😀 If you’ve spent the last few months trying to build your MVP with a prompt instead of a product team — congratulations, you’ve just learned what many founders are now quietly admitting: it’s harder, slower, and far more fragile than it looked… -
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Klarna’s bold leap into AI-driven customer service has hit a human wall. Less than a year after replacing 700 staff with AI, the company is now backtracking, admitting that automation alone couldn’t deliver the quality customers expected. -
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Every new wave of automation has put us under stress about jobs disappearing. Advances in artificial intelligence—especially generative AI like large language models (LLMs)—make some of us anxious about “What’s next?” -
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As the digital layer of our lives thickens, technology is shaping how we care, heal, and act. More than ever, people expect digital products to do good — to support sustainability, inclusivity, mental health, civic engagement, and more. And the numbers back it up. -
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You used to ask your best friend for dating advice. Or maybe your therapist. Now, some people whisper their secrets to a chatbot trained on Reddit threads and pop psychology. And it answers—politely, supportively, and without judgment. -
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Businesses across industries are not just settling for off-the-shelf systems but investing in scalable, flexible, and secure custom software to gain a competitive edge in changing digital ecosystems. -
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Developers built the AI that’s now replacing them — poetic, isn’t it? Explore how coders automated themselves out of jobs, who will survive the shift, and why LaSoft still bets on humans. -
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Everyone talks about building software. Far fewer actually make money from it. It’s easy to get caught up in the hype — spinning up a SaaS, sketching out pricing tiers, dreaming of MRR and exits. But before any of that matters, you need one thing: clarity. What exactly are you building? Who is it for? Why… -
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So, your SaaS has stopped making money. Not slowed down — just flatlined. MRR is now MIA, and the only notifications you’re getting are from Google Analytics gently whispering “0 active users.” Don’t worry, you’re not alone — many founders have been there, staring at Stripe dashboards like they’re broken. But the real problem might…