Deceptive Design, the darker side of AI technology we should be aware of.
Exciting advancements in AI technology continue to emerge, and this week I discovered a fascinating term: “deceptive design”.
I hadn’t encountered this term before, so I was intrigued to learn more. Deceptive design is a new form of AI technology that disguises product features or uses seemingly innocuous interfaces to access confidential data. These deceptive designs, or dark patterns, aim to trick us into making a choice we otherwise wouldn’t make.
Deceptive design poses a significant threat as it can be challenging to detect and could lead to unauthorised access to confidential data or even manipulation of company assets. As such, businesses must be aware of this risk and take the necessary steps to protect their systems from malicious AI technology.
Although the potential of artificial intelligence is undeniably thrilling, it’s disheartening to witness the misapplication of these technologies—such a shame.
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Your Data Is Diminishing Your Freedom
The challenge we need to meet is developing a broader regulatory framework around this.
To be able to function in modern society is to submit to demands for ID numbers, for financial information, for filling out digital fields and drop-down boxes with our demographic details. Such submission, in all senses of the word, can push our lives in very particular and often troubling directions.
It’s only recently, though, that I’ve seen someone try to work through the deeper implications of what happens when our data — and the formats it’s required to fit — become an inextricable part of our existence, like a new limb or organ to which we must adapt. ‘‘I don’t want to claim we are only data and nothing but data,’’ says Colin Koopman, chairman of the philosophy department at the University of Oregon and the author of ‘‘How We Became Our Data.’’
‘‘My claim is you are your data, too.’’ Which at the very least means we should be thinking about this transformation beyond the most obvious data-security concerns.
The Future Of Tokenization: Exploring Its Impact On Business And Technology
Tokenization has immense potential and can be applied in various fields.
In a rapidly changing business environment, many innovations emerge, with some being immediately useful while others quickly disappear. As for tokenization, today, it is no longer a buzzword but a phenomenon that needs more comprehension.
Though TrustCommerce spearheaded tokenization in 2001, most of the general public is not well-versed in the issue. Back then, tokenization was introduced in the digital realm to substitute sensitive data (e.g., credit card information) with a digital counterpart called a token to safeguard credit card details from data thefts and cyberattacks.
The global tokenization market has been showcasing astounding growth, which could have a considerable impact on the global economy. According to Markets & Markets, the tokenization market is expected to broaden from $2.3 billion in 2021 to $5.6 billion by 2025, with an average annual growth rate of 19%.
What is generative AI?
Recent new breakthroughs in the field have the potential to drastically change the way we approach content creation.
Ready to take your creativity to the next level? Look no further than generative AI! This nifty form of machine learning allows computers to generate all sorts of new and exciting content, from music and art to entire virtual worlds. And it’s not just for fun—generative AI has plenty of practical uses too, like creating new product designs and optimizing business processes. So why wait? Unleash the power of generative AI and see what amazing creations you can come up with!
Did anything in that paragraph seem off to you? Maybe not. The grammar is perfect, the tone works, and the narrative flows.
OpenAI turns ChatGPT into a platform overnight with addition of plugins
OpenAI today announced its support of new third-party plugins for ChatGPT.
A sign of OpenAI’s accelerating dominance.
The announcement was quickly received by the public as a signal of OpenAI‘s ambitions to further its dominance by turning ChatGPT into a developer platform. “OpenAI is seeing ChatGPT as a platform play,” tweeted Marco Mascorro, cofounder of Fellow AI.
And @gregmushen tweeted: “I think the introduction of plugins to ChatGPT is a threat to the App Store. It creates a new platform with new monetization methods.”
In sharing the announcement, OpenAI CEO Sam Altman tweeted: “We are starting our rollout of ChatGPT plugins. you can install plugins to help with a wide variety of tasks. we are excited to see what developers create!”
OpenAI, he said, is offering a web browsing plugin and a code execution plugin. He added that the company is open-sourcing the code for a retrieval plugin.
Why technology must now be ethical by design
As technology continues to advance worldwide, the ethical implications of its deployment mustn’t be forgotten.
New and existing applications of technology have proliferated since the pandemic.
From working from home to facial recognition, technology has continually been deployed across all sections of society to address the challenges which will continue to impact our everyday lives in the months and years ahead.
However, it’s also important to consider the various ethical challenges posed alongside the implementation of such technologies, including the misuse of data, spread of misinformation and potential for bias. Failure to do so could lead to far-reaching and long-term consequences for all corners of society.
Governments around the world are already introducing legislation to tackle these ethical issues head on, including the Digital Services Act and the proposed Artificial Intelligence Act. While these policies are welcomed, it’s also vital products and services are designed ethically from the outset. This will help ensure any potential negative outcomes are properly addressed at the start, before they begin to impact wider society.
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3 Emerging Risks to Watch: Generative AI, Deceptive Design, Bidirectional EVs
Keeping track of these issues will be critical to strategic planning and risk management as we journey into the future.
Innovative technologies can be transformational for businesses, industries and our way of life, but they also represent risks. Advances in new areas of tech, such as artificial intelligence (AI), are creating unforeseen threats that insurers must grapple with or risk new exposures. However, three emerging risks rise above the rest as issues the insurance industry should monitor closely.
Generative AI: A New Day Dawns … for Cyber Risk
Barely a day seems to go by without a story heralding a new milestone for Generative AI — the machine learning technique that can create original content such as images, text, video and computer code, from simple text prompts.
In January 2023 alone, we learned that Generative AI has been used to design homes, act as a defense attorney, and imitate human voices. Market researchers see Generative AI apps, such as OpenAI’s popular ChatGPT, creating plenty of revenue — potentially $109 billion by 2030. But the same creative power that has captivated our attention has also raised potential concerns.
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I hope these articles are valuable.
I am passionate about technology, and I want to share that passion with you. I believe that it’s essential for everyone to stay up-to-date on the latest trends, so I’ve set out to cover all aspects of the industry – from data analytics to blockchain and AI.
Please let me know if you want to see any other topics covered, and I would appreciate your help sharing this blog with others interested.