Ethics and AI
We have all seen the groundbreaking developments of Artificial Intelligence (AI), within the past 50 years we have seen AI transform from the first bot to it more recently being rolled out into our homes with Amazon’s Alexa and Apple’s Siri.
Whilst we are witnessing the most innovative plots of our time, there have also been genuine raising concerns around ethical deployment through the use of such AI applications.
So what ethical concerns need more public awareness to combat the resistance in the uptake to AI and for both companies and the general public to trust implementing AI into their processes?
Below we have listed the latest hot topics within this space:
1. Government Involvement in AI Ethics
In the last year or so we saw the Government taking up further regulations regarding data privacy (GDPR was applied in May 2018).
This gave companies the opportunity to position themselves in the ecosystem, enforcing explainable and transparent AI. GDPR already mandates a “right to explanation” for all high-stakes automated decisions. This is one of the first legal steps towards a more ethical AI.
We should continue to expect to see our Governments playing a huge role in big data and AI, to create an ethical regulatory digital ecosystem.
This will help alleviate any growing fears about this technology in the upcoming years.
2. Product Development Terms and Conditions Updates and Initiatives to Mitigate AI risks.
We are seeing more and more large tech companies investing into these processes and being transparent around such analytical products available in the market - informing the public into how their information will be used.
For example, tech giants like the likes of Facebook and Google both recently shared details on how they are executing on AI in an ethical way through product requirement documents. This responsibility to disclose how new products and system updates work in conjunction with AI has been a new framework for getting consent of the general public and at scale.
This has been key to automating the constant speed at which these new products are coming into the market with automating consentment to be able to enforce this ethical product development in the industry.
This allows the general public to regain trust with such big tech companies into how their information is used and have the option not only to tackle their personal biases but also evaluate their own potential data related risks.
3. New partnerships across big companies are forming to prevent AI related risks
Companies and public institutions have recognised this need that forming partnerships is the gateway to create safeguards into potential misuse of AI technology.
Forbes for example recently stated that the Council on the Responsible use of AI has audited that there are more than 80 companies across the world that have partnered together. And it is inevitable that more partnerships will develop, and thus more regulations will be created for the upcoming years to come.
Whilst many of these partnerships will be to ensure and design favour into how our data is shared through their own data standardisation processes, we can also expect to see more control.
This increased control should create fewer biases and reduce the risks around security and privacy of our data. They’ll play a major role in regulating standards in the years to come and continue upon to deliver more ethical AI products.
To conclude this illustrates that, even though AI is becoming available to the masses, there is still a sight discrepancy to how to make it behave with social codes that we define as acceptable for both the masses and society.
This is also proof that, as more data providers enter the market, we need to continue to examine the data that’s used to train the algorithms to bring AI and ethics together.
Oxford Immune Algorithmics, a reputable AI company who over the past decade have proven over 2,000 year old problems in areas including blood tests, medical science and optics.
The company is well established and is known for developing the next generation of AI with high level deployment at an ethical standpoint.
RaboBank, CitiBank, Volkswagen and EON are just some of the clients they have worked with.
If you are interested in learning more, please visit https://www.oxfordimmunealgorithmics.co.uk
We are excited to share that Savant Technology has partnered with Oxford Immune Algorithmics who are a reputable biotech company. Recently they have developed the platform Algocyte, that applies AI and Machine Learning to harness the transformative potential of regular health and personalised immune monitoring.
Savant Technology and Oxford Immune Algorithmics are working in partnership to deliver Data Science, Machine Learning and AI consultancy services as well as additional recruitment resources required for programme projects at a highly competitive rate.
For more information please visit www.savantrecruitment.com or contact Peter Kyriacou directly on peter.kyriacou@savantrecruitment.com
