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07 Jun 2024

Ethical considerations in AI adoption

London Tech Week blog by PLANEKS

Artificial Intelligence (AI) is a technology that imitates human intelligence performance within machines, spanning learning, reasoning, and problem-solving activities. Its potential can redefine the UK market and elevate efficiency as well as services across numerous domains.

According to the Gov.UK, approximately 15% of UK businesses, 432,000 companies, have implemented at least one AI technology. As businesses expand, their tendency to implement AI increases; 68% of large companies, 34% of medium-sized organizations, and 15% of small companies have implemented at least one AI technology. 

As AI rapidly integrates into day-to-day business operations, it's crucial to consider ethical implications, building trust and accountability in the business world. These concerns must be investigated to ensure responsible implementation. In this post, we’ll provide an exploration of the ethical considerations of AI within the business landscape. 

Understanding Ethical Considerations in AI Adoption

AI comprises the capacity for societal advancement, but its deployment introduces ethical concerns that require resolution. Ethical AI, integral for conscious adoption, focuses on transparency, accountability, and confidentiality. Core ethical fundamentals defining AI development and deployment incorporate algorithm fairness, decision-making process openness, accountability for results, and securing privacy rights. 

Challenges and risks in ethical AI implementation cover biases, lack of transparency, autonomous decision-making, job displacement, and ethical concerns; nevertheless, the benefits of AI can outweigh the drawbacks. Besides, there are reliable strategies that can maximize the value of AI and mitigate negative outcomes. It’s critical to work on bias reduction, ensure higher transparency in decision-making, and find a balance between autonomy and accountability. Businesses should also consider investing in reskilling and ethical practices adoption, adhering to principles of responsibility, fairness, and respect for human rights.

Existing ethical AI regulations and guidelines, such as the IEEE Global Initiative for Ethical Considerations in AI and Autonomous Systems, deliver insights into handling these challenges and facilitating responsible AI adoption.

Industries and Applications of Ethical AI

As an AI Activity in UK Business report claims, UK-based businesses of all scales and sizes are undergoing AI adoption. In fact, roughly 480 large firms (20%), 1,500 medium-sized firms (8%), and 49,300 small firms (3%) are currently employing four or five AI technologies to enhance their business operations.

Healthcare

AI ethics are critical in patient care and diagnosis. They ensure transparency and privacy within the software and focus on protection to support medical services' confidentiality.

Elaborate is a lab result delivery system that showcases ethical AI adoption by putting patient privacy first. We at PLANEKS have become their dedicated partners, upholding ethical AI and ensuring patient privacy in lab result delivery. In synergy with the client, we have created a platform that securely delivers results via SMS and email, safeguarding patient information. With AI algorithms and OCR technology, we streamline lab report processing, maintaining data integrity, establishing patient trust, and optimizing healthcare services.

Finance

Ethical considerations are essential in AI-based financial services to address bias and discrimination, particularly in credit scoring algorithms. Fairness in financial decision-making promotes trust and equity in the financial industry. Emphasizing ethical AI adoption eliminates potential harm and introduces a higher level of responsibility and accountability within the financial domain.

Education

Personalized learning and educational assessment with AI provide inclusive and transparent opportunities. By mitigating learning bias with AI education tools, ethical considerations support equitable access to education and assessment clarity. Ethical concerns in this sector are crucial to guarantee fairness, transparency, and accountability.

Future Perspectives and Recommendations

Future tendencies in ethical AI will focus on enhancing fairness, transparency, and accountability in AI systems. They will also address handling ethical obstacles in sectors like autonomous decision-making and algorithmic bias in AI.

Organizations and government institutions must prioritize ethical considerations by adhering to responsible AI development guidelines, ensuring team diversity, and collaborating with stakeholders to handle challenges. It’s also critical for policymakers to establish robust ethical AI frameworks, ensuring transparency, accountability, and customer-centric values.

We at PLANEKS focus on ethical AI adoption and engage modern businesses to follow suit. Sticking to ethical standards, companies can serve as mentors for others, demonstrating successful AI integration and addressing concerns related to knowledge gaps or limited understanding. Let's ensure responsible and effective AI integration together.

Conclusion

By adhering to ethical principles, we maximise the potential of AI while mitigating harm and ensuring trust, bias liquidation, openness, integrity, and societal well-being. At PLANEKS, we're committed to being your trusted partner, seamlessly integrating AI benefits with high transparency, responsibility, and ethical integrity. Let us become your reliable partner in seamless AI integration, contact us

Author: Iryna Mahalias, Co-Founder & CEO, PLANEKS. 

 


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