Author Archives: Wiktor Majewski

1 January 2024
1 Comment
AI, Business

Ethical dilemma of artificial intelligence

Reading Time: 3 minutes
THE ETHICS OF AI: WHAT MAKES 'ETHICAL AI' AND WHAT ARE ITS CHALLENGES?
https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.linkedin.com%2Fpulse%2Fethics-ai-what-makes-ethical-its-challenges-erid-haderaj&psig=AOvVaw2KbBDYx1pCPoUsJQWNnB0Z&ust=1702986174417000&source=images&cd=vfe&opi=89978449&ved=0CBEQjRxqFwoTCNDE6IL0mIMDFQAAAAAdAAAAABAD

One of the popular technological topic dilemmas that I found is the ethical dilemma of artificial intelligence (AI). AI is a technology that can perform tasks that normally require human intelligence, such as reasoning, learning, decision making, and problem solving. AI has many applications and benefits for various fields and sectors, such as health, education, business, and entertainment. However, AI also poses many challenges and risks for society, such as privacy, security, accountability, transparency, and fairness.

How can we guarantee that AI upholds human dignity, rights, and values? One effective approach involves the adoption and implementation of ethical principles and guidelines for AI, as proposed by esteemed entities such as the European Commission, OECD, or the IEEE. These guidelines are crafted to ensure that AI remains human-centric, values-based, and trustworthy, prioritizing the preservation of dignity, rights, and values for both humans and other living beings.

To prevent the misuse of AI for harmful purposes like warfare, cyberattacks, or manipulation, a crucial step is the establishment and enforcement of legal and moral norms and rules for AI. Recommendations from authoritative bodies like the UN, ICRC, or the Partnership on AI can guide efforts to prevent or restrict the deployment of AI in ways that threaten peace, security, or human dignity. Holding accountable those who misuse or abuse AI for such purposes is a key component of this strategy.

Regulating and overseeing the development and use of AI can be accomplished through the creation and support of multi-stakeholder and multi-level governance mechanisms and institutions, as suggested by UNESCO, the Council of Europe, or the Global Partnership on AI. These mechanisms aim to facilitate dialogue, cooperation, and coordination among diverse actors and sectors involved in AI, including governments, civil society, academia, industry, and international organizations. The goal is to ensure responsible and ethical development and usage of AI.

Ensuring inclusivity and diversity in AI, and preventing discrimination or exclusion of certain groups, can be achieved by promoting and protecting diversity and inclusion in AI development. Initiatives advocated by UNDP, the AI Now Institute, or the Algorithmic Justice League focus on designing and deploying AI with the active participation and representation of diverse and marginalized groups, ensuring that AI does not perpetuate existing biases, inequalities, or injustices.

To guarantee that AI is explainable and understandable, fostering trust and control among humans, the development and application of explainable and transparent AI techniques and methods are essential. Approaches recommended by DARPA, FAT/ML, or XAI aim to empower humans to comprehend the logic, reasoning, and outcomes of AI systems. This transparency allows for human oversight and feedback, ensuring alignment with human goals and values.

To prevent the displacement or harm of human jobs, skills, or relationships by AI, enhancing and supporting human capabilities and capacities in AI is crucial. Initiatives proposed by the World Bank, ILO, or WEF strive to ensure that AI serves to augment and complement human skills and abilities, creating new opportunities and benefits for human workers and learners. These efforts emphasize fostering collaboration and connection among humans in the context of AI.

My view on the ethical dilemma of AI is that AI is a powerful and promising technology that can improve the quality and efficiency of human life, but it also requires careful and responsible use and governance. I think that AI should be aligned with human values and interests, and that it should respect the principles of human dignity, autonomy, justice, and solidarity. I also think that AI should be developed and used in a participatory and collaborative manner, involving various stakeholders, such as researchers, developers, users, regulators, and civil society. I think that AI should be subject to ethical standards and legal frameworks that ensure its safety, reliability, and accountability. I also think that AI should be transparent and explainable, and that humans should have the right to know, understand, and challenge the decisions and actions of AI. I think that AI should be beneficial and empowering for humans, and that it should not undermine or threaten human dignity, rights, or well-being. I also think that AI should be compatible and complementary with human skills and abilities, and that it should not replace or harm human jobs, creativity, or social interactions.

Source:
(1) Artificial Intelligence: examples of ethical dilemmas | UNESCO. https://www.unesco.org/en/artificial-intelligence/recommendation-ethics/cases.
(2) Ethical dilemmas in technology | Deloitte Insights. https://www2.deloitte.com/us/en/insights/industry/technology/ethical-dilemmas-in-technology.html.
(3) History of technology – Technological Dilemma, Innovation, Impact. https://www.britannica.com/technology/history-of-technology/The-technological-dilemma.
(4) Top 10 Scientific Technology Challenges in 2021 – Laboratory Equipment. https://www.laboratoryequipment.com/571215-Top-10-Scientific-Technology-Challenges-in-2021/.

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18 December 2023
4 Comments
AI, Business, Security

AI in unethical World

Reading Time: 3 minutes

AI is a powerful technology that can be used for both good and evil purposes. On the one hand, AI can help detect and prevent fraud by analyzing data and identifying patterns that may indicate fraudulent activity⁵⁶⁷. On the other hand, AI can also be used to facilitate fraudulent activities, such as generating fake or misleading information, or automating scams or other fraudulent schemes¹²³⁴.

80% of employers aren't worried about unethical use of AI – but maybe they should be - The Manufacturer

Some of the benefits of using AI for fraud detection and prevention are:

  • Speed and efficiency: AI can process large amounts of data and perform tasks quickly, which makes it a potentially useful tool for detecting fraud in real time⁵.
  • Anonymity: AI can help protect the identity and privacy of the users and the organizations from fraudsters, by using encryption, authentication, and biometrics⁶.
  • Evasion of detection: AI can help avoid false positives and false negatives, by using machine learning algorithms that can learn from data and improve their accuracy over time⁷.

Some of the challenges of using AI for fraud detection and prevention are:

  • Data quality and availability: AI relies on data to learn and perform its tasks, but the data may not be reliable, complete, or accessible, which can affect the performance and validity of the AI models⁵.
  • Ethical and legal issues: AI may raise ethical and legal concerns, such as privacy, security, accountability, transparency, and fairness, which may require regulation and oversight⁶.
  • Adversarial attacks: AI may be vulnerable to adversarial attacks, where fraudsters can manipulate the data or the AI models to deceive or evade the AI systems⁷.

Some of the ways that AI can be used to facilitate fraudulent activities are:

  • Generating fake or misleading information: AI can create fake websites, social media accounts, or other online content that is designed to deceive or mislead people. This could include generating fake reviews or manipulating online ratings to mislead consumers¹.
  • Automating scams: AI can automate scams or fraudulent schemes, such as by sending out mass emails or text messages that are designed to trick people into revealing sensitive information or sending money².
  • Spoofing phone numbers or email addresses: AI can create fake phone numbers or email addresses that are designed to deceive people into thinking they are communicating with a legitimate entity².
  • Voice cloning: AI can replicate a person’s voice after listening to them speak for only a few seconds, which can be used to impersonate someone or bypass voice biometric systems².

My view on AI used in frauds and scams is that AI is a double-edged sword that can be used for both good and evil purposes. AI has the potential to improve the security and efficiency of fraud detection and prevention, but it also poses new risks and challenges that need to be addressed. I think that AI should be used responsibly and ethically, with proper regulation and oversight, to ensure that it is not abused or misused for fraudulent activities. I also think that users and organizations should be aware of the potential threats and take appropriate measures to protect themselves from fraud, whether it involves AI or other technologies.

Source:
(1) How AI And Machine Learning Help Detect And Prevent Fraud – Forbes. https://www.forbes.com/sites/forbestechcouncil/2023/11/01/how-ai-and-machine-learning-help-detect-and-prevent-fraud/.
(2) How AI Used in Fraud Detection? Benefits, Techniques, Use cases. https://www.knowledgehut.com/blog/data-science/ai-fraud-detection.
(3) Artificial Intelligence – How it’s used to detect financial fraud. https://www.fraud.com/post/artificial-intelligence.
(4) AI Fraud: The Hidden Dangers of Machine Learning-Based Scams. https://www.acfeinsights.com/acfe-insights/2023/1/6/ai-and-fraud.
(5) Experts say AI scams are on the rise as criminals use voice cloning …. https://www.abc.net.au/news/2023-04-12/artificial-intelligence-ai-scams-voice-cloning-phishing-chatgpt/102064086.
(6) Growing AI-powered fraud highlights the need for advanced fraud detection. https://blog.sift.com/growing-ai-powered-fraud-highlights-the-need-for-advanced-fraud-detection/.
(7) The Rise of AI in Phishing Scams: How Scammers Use It and How We Can …. https://fightcybercrime.org/blog/the-rise-of-ai-in-phishing-scams-how-scammers-use-it-and-how-we-can-fight-back/.
(8) AI-Powered Fraud Protection Strategies for Banks. https://fintechmagazine.com/articles/how-ai-can-protect-against-bank-fraud-scams.

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1 December 2023
2 Comments
AI, Business, Sharing economy

AI and Gambling: A Risky Combination

Reading Time: 4 minutes
The Role of Artificial Intelligence in Online Casinos

Artificial intelligence (AI) is a technology that can process large amounts of data, learn from patterns, and make predictions and decisions. AI has been applied to various domains, including the gambling industry, where it can offer new features, opportunities, and challenges for both operators and players. However, AI also poses significant risks and ethical dilemmas for gambling, especially in relation to problem gambling, fairness, and transparency. In this article, I will critically examine some of the arguments for and against AI and gambling, and offer my own perspective on this issue.

One of the main arguments in favor of AI and gambling is that it can enhance the gambling experience and efficiency for both operators and players. AI can provide personalized and dynamic gambling options, such as tailored recommendations, in-play betting, and cash-out features, that can increase the engagement and satisfaction of players. AI can also help operators to optimize their operations, such as marketing, customer service, and fraud prevention, by analyzing customer behavior, preferences, and feedback. For example, ChatGPT, an AI language model, can generate text, video, and audio content that can be used for various purposes, such as news, education, entertainment, and marketing.

The Significance of Artificial Intelligence in the Virtual Betting Industry

Another argument in favor of AI and gambling is that it can help prevent and reduce problem gambling, which is a serious issue that affects millions of people worldwide. AI can monitor and detect signs of problematic gambling behavior, such as excessive spending, chasing losses, or emotional distress, by using data from various sources, such as online platforms, social media, and biometric sensors. AI can also intervene and provide support and guidance for problem gamblers, such as alerts, reminders, self-exclusion, or referrals to professional help. For example, BetBuddy, an AI system developed by Playtech, can identify and assist at-risk and problem gamblers by using machine learning and behavioral analytics.

However, not everyone is convinced by the benefits of AI and gambling. Some of the main arguments against AI and gambling are that it can increase the risk and harm of problem gambling, and that it can compromise the fairness and transparency of gambling outcomes. AI can create gambling options that are more addictive and immersive, such as micro and in-play bets, losses disguised as wins, and augmented reality, that can exploit the psychological and emotional vulnerabilities of players. AI can also manipulate and influence the decisions and behaviors of players, such as nudging them to bet more, or altering the odds and payouts, by using data and algorithms that are not transparent or accountable. For example, some AI systems, such as WagerGPT and OddsGPT, can use sentiment analysis from Twitter and deep learning to predict and influence the outcomes of sports betting.

How AI is Making Gambling Safer – BetMGM

Another argument against AI and gambling is that it can threaten the job market and the future of work, especially for those who work in the gambling industry. AI can automate and replace many tasks and roles that are currently performed by human workers, such as dealers, cashiers, analysts, and marketers, by using robots, chatbots, and software. AI can also create new forms of competition and disruption for the existing gambling operators, such as online platforms, cryptocurrencies, and blockchain, that can offer lower costs, higher efficiency, and greater security. For example, some AI platforms, such as Augur and Gnosis, can use blockchain and smart contracts to create decentralized and peer-to-peer prediction markets.

My own view on AI and gambling is that it is a complex and controversial issue that requires careful and balanced consideration. I think that AI can offer some advantages and opportunities for gambling, such as improving the quality and diversity of gambling options, and helping to prevent and reduce problem gambling. However, I also think that AI can pose some serious risks and challenges for gambling, such as increasing the addiction and harm of problem gambling, and compromising the fairness and transparency of gambling outcomes. Therefore, I think that the key to AI and gambling is not to embrace or reject it, but to regulate and monitor it. I think that we need to establish clear and ethical rules and standards for the development and use of AI in gambling, and protect the rights and interests of both operators and players. I think that we need to educate and empower both operators and players to use AI in gambling responsibly and wisely, and enhance their skills and awareness. I think that we need to respect and balance the interests and values of all the stakeholders involved in AI and gambling, and foster a culture of cooperation and dialogue. I think that we need to understand and evaluate the impacts and implications of AI and gambling, and explore its potential and limitations for the future of gambling.

Source:

  1. gamingtoday.com
  2. boardroom.tv
  3. gambleonline.co
  4. gbc-time.com
  5. theconversation.com
  6. bettinggods.com
  7. analyticsinsight.net
  8. askgamblers.com
  9. t.co
  10. Chat GPT 4 with grammarly plugin

29 November 2023
3 Comments
AI, Apps, Software

Can AI wipe out real art?

Reading Time: 4 minutes
What Is an AI Art Generator? Features, Benefits and More

AI art production is a controversial topic that has sparked debates among artists, critics, and the general public. Some see AI as a powerful tool that can enhance human creativity and generate novel and original works of art. Others view AI as a threat that can undermine the value and meaning of human art and creativity. In this article, I will examine some of the arguments for and against AI art production, and offer my own perspective on this issue.

One of the main arguments in favor of AI art production is that it can expand the possibilities of artistic expression and exploration. AI can create images, music, text, and other forms of art that humans may not be able to imagine or produce on their own. AI can also learn from large datasets of existing art and generate new variations, combinations, and styles that can inspire human artists. For example, Dall-E 2, an AI image generator developed by OpenAI, can produce realistic and surreal images based on any text prompt, such as “a sea otter in the style of Girl with a Pearl Earring” or “Gollum from The Lord of the Rings feasting on a slice of watermelon” 1. Some of these images can be considered as artistic and creative, and may even evoke emotions and meanings in the viewers.

Imagine AI Art Generator Reigns Supreme In Outshining Its Competitors

Another argument in favor of AI art production is that it can democratize the access and participation in art and culture. AI can lower the barriers of entry and cost for creating and consuming art, and allow more people to express themselves and enjoy art. AI can also enable collaboration and interaction between human and machine artists, and foster new forms of art and culture. For instance, Midjourney, an AI art platform, allows users to create and share AI-generated images using text prompts, and also edit, remix, and comment on other users’ creations 2. Midjourney claims that its mission is to “empower anyone to create and explore art” and that it is “building a community of creators who are passionate about AI and art” 2.

However, not everyone is enthusiastic about AI art production. Some of the main arguments against it are that it can diminish the quality and authenticity of art and creativity. AI can produce art that is superficial, derivative, and lacking in originality and intention. AI can also copy and exploit the work of human artists without their consent and recognition, and violate their intellectual property rights. For example, some AI art generators, such as Deep Dream Generator and Stable Diffusion, rely on databases of already existing art and text to create images from prompts 3. These databases may contain pirated or licensed images that belong to other artists, and the AI may not properly credit or compensate them. Some human artists, such as children’s illustrators, have expressed their concerns and frustrations about the legality and ethics of AI art generators, and launched an online campaign called #NotoAIArt 3.

Artists: AI Image Generators Can Make Copycat Images in Seconds

Another argument against AI art production is that it can devalue and replace the role and skill of human artists and creatives. AI can generate art faster, cheaper, and more efficiently than humans, and may outperform and outsmart them in some tasks and domains. AI can also automate and standardize the process and outcome of art production, and reduce the need and demand for human art and creativity. For example, some AI tools, such as GPT-3, Imagen Video, and Lensa, can generate text, video, and audio content that can be used for various purposes, such as journalism, education, entertainment, and marketing 4. Some critics have predicted that AI will eventually eliminate creative jobs, undermine human creativity, and erode the cultural and social value of art 4.

My own view on AI art production is that it is neither a blessing nor a curse, but rather a challenge and an opportunity for human art and creativity. I think that AI can be a useful and powerful tool that can augment and complement human art and creativity, but not replace or surpass it. I think that AI can create art that is impressive and interesting, but not meaningful and expressive. I think that AI can learn from and collaborate with human artists, but not imitate or compete with them. I think that AI can democratize and diversify art and culture, but not trivialize or homogenize them.

Therefore, I think that the key to AI art production is not to reject or embrace it, but to regulate and integrate it. I think that we need to establish clear and fair rules and standards for the use and development of AI art tools, and protect the rights and interests of human artists and consumers. I think that we need to educate and empower human artists and creatives to use AI art tools effectively and responsibly, and enhance their skills and talents. I think that we need to appreciate and celebrate the diversity and uniqueness of human and machine art, and foster a culture of mutual respect and collaboration. I think that we need to recognize and embrace the potential and limitations of AI art production, and explore its implications and possibilities for the future of art and creativity.

source:

https://www.theguardian.com/technology/2022/nov/12/when-ai-can-make-art-what-does-it-mean-for-creativity-dall-e-midjourney

https://www.techradar.com/features/best-ai-art-generators-compared

https://picsart.com/ai-art-generator

If it wasn’t created by a human artist, is it still art?

https://www.newscientist.com/article/2266240-ai-art-critic-can-predict-which-emotions-a-painting-will-evoke/

GOOGLE BARD AI

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21 October 2023
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AI, Blockchain, Business

How AI is Changing the Crypto Landscape for Better or Worse

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How AI is Changing the Crypto Landscape for Better or Worse

Artificial intelligence (AI) is a powerful technology that can enhance or disrupt the crypto industry. In this article, I will critically examine the arguments and evidence presented by some of the recent articles on this topic, and offer my own perspective on the benefits and challenges of AI for crypto.

AI and Crypto: A Match Made in Heaven?

Some articles claim that AI and crypto are a perfect combination, as they both rely on data, algorithms, and decentralization. For example, 1 argues that AI can solve many of the problems that plague the crypto market, such as fraud detection, price prediction, and trading optimization. 2 presents a study that shows how machine learning techniques can achieve high profitability in forecasting and trading cryptocurrencies, even under changing market conditions. 3 explores the benefits of AI for crypto investors, such as reducing human errors, increasing efficiency, and enhancing decision making.

However, these articles fail to address some of the limitations and risks of AI for crypto. First, AI is not a magic bullet that can guarantee success in the volatile and unpredictable crypto market. AI models are only as good as the data and assumptions they are based on, and they can still make mistakes or be manipulated by malicious actors. Second, AI can also pose ethical and social challenges for crypto, such as privacy invasion, bias, and inequality. For instance, AI can enable mass surveillance and censorship of crypto transactions and users, or create unfair advantages for some groups over others. Third, AI can also threaten the core values and principles of crypto, such as decentralization, transparency, and democracy. For example, AI can create centralized power structures or monopolies in the crypto space, or undermine the trust and participation of the community.

AI and Crypto: A Clash of Titans?

Other articles suggest that AI and crypto are in conflict or competition with each other, as they both aim to dominate the future of technology and society. For example, 4 reports on the rise of AI-focused projects in the crypto space, such as SingularityNET, which aims to create a decentralized network of AI agents that can exchange services and data using cryptocurrencies. 5 analyzes the effects of ChatGPT, a language bot powered by AI, on the prices of AI-based cryptocurrencies, such as AGIX. The article claims that ChatGPT has boosted the popularity and value of these tokens by generating positive sentiment and hype around them.

However, these articles overlook some of the opportunities and synergies that exist between AI and crypto. First, AI and crypto can complement each other by providing mutual benefits and solutions. For example, AI can help improve the scalability, security, and usability of crypto platforms and protocols, while crypto can provide incentives, rewards, and governance for AI systems and agents. Second, AI and crypto can collaborate with each other by creating new forms of innovation and value. For example, AI and crypto can enable new applications and use cases that were not possible before, such as decentralized autonomous organizations (DAOs), smart contracts, oracles, or NFTs. Third, AI and crypto can coexist with each other by respecting their differences and diversity. For example, AI and crypto can acknowledge their strengths and weaknesses, their goals and visions, and their roles and responsibilities in the technology ecosystem.

Conclusion

AI is a game-changer for the crypto industry, but it is not a simple or straightforward one. AI can bring both advantages and disadvantages for crypto, depending on how it is used and regulated. Therefore, it is important to have a critical and balanced view of the impact of AI on crypto, rather than blindly accepting or rejecting it. As a crypto enthusiast and an AI researcher, I believe that AI and crypto can work together to create a better future for technology and society if they are guided by ethical principles, human values, and social good.

Whole post was reedited by Bing AI in terms of visual and interface appearance

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