Innovations in Artificial Intelligence are already dramatically improving the provision of essential social goods and services. It may not be long before AI technologies become gatekeepers for the advancement of vital public interests and sustainable human development. This is where ethics come into play as with any rapidly evolving technology, a steep learning curve means that mistakes and miscalculations will be made & that unanticipated impacts will inevitably occur.

In order to manage these impacts responsibly and to direct the development of AI systems toward optimal public benefit, considerations will have to be made regarding AI ethics and safety. Our blog for the week brings stories that deal with the elephant in the room, the discussion of AI ethics & transparency.

A beginner’s guide to AI: Ethics in artificial intelligence by TNW

The development of an AI system that analyzes human emotion as evident in facial expression isn’t inherently objectionable. One ethical use of this technology would be the creation of a system that alerts drivers when they appear to be falling asleep behind the wheel. But if you use it to determine if a job candidate is a good fit for your company, for example, that’s likely to be considered unethical.

Unfortunately. every entity in the modern world seems to have its own agenda and its own ethics when it comes to AI. It is about having a universal set of ethics when it comes to working with AI!

Nothing Personal, But Ethical AI Is Our Strongest Weapon In Data Privacy Wars by Forbes

The simple truth about AI is that when used responsibly, it doesn’t have to force a costly bargain between personalization and privacy. General Data Protection Regulation (GDPR) protects personal data in many regions, confining its use to specifically consented purposes. In other countries, organizations protect customer data to foster trust aligned with corporate and societal ethics.

With the right intentions and scrupulous techniques, we can make AI a force for the larger good of business and society.

We need to talk about Artificial Intelligence by World Economic Forum

The AI integration within industry and society and its impact on human lives, calls for ethical and legal frameworks that will ensure its effective governance, progressing AI social opportunities, and mitigating its risks. There is a need for sound mechanisms that will generate a comprehensive and collectively shared understanding of AI’s development and deployment cycle. Thus, at its core, this governance needs to be designed under continuous dialogue utilizing multi-stakeholder and interdisciplinary methodologies and skills.

Effective governance of AI will involve a consistent dialogue between businesses and policymakers to agree on a common set of principles and concrete methodologies. Hopefully, we move in this direction soon!

How do we create trustworthy AI with ethics & transparency? by Analytics Insight

Artificial intelligence can possibly improve the wellbeing and prosperity of individuals, yet adoption in clinical practice is as yet restricted. The absence of transparency is recognized as one of the principle obstructions to usage, as organizations should be sure that AI systems can be trusted. Explainable AI can possibly beat this issue and can be a step towards trustworthy AI.

A trustworthy AI system should be incorporated that offers an organized and exhaustive approach to consider AI ethics since with great technology power comes great responsibility!

In the end....

It is only when we prioritize considerations of the ethical purposes and values behind the trajectories of our technological advancement, that we, as societal stakeholders, will be able to take the reins of innovation and to steer the course of our algorithmic creations in accordance with a shared vision of what a better human future should look like.

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