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european ai needs strategic leadership, not overregulation

AVATAR Mark Minevich
Mark Minevich
Contributor
May 15, 2021
european ai needs strategic leadership, not overregulation

The EU's Proposed AI Regulations

The European Commission has put forward a new, comprehensive framework for regulating artificial intelligence (AI), emphasizing the pressing need for governance. This action signifies a formal entry into the global effort to establish AI regulations.

The EU’s detailed proposal outlines specific prohibitions for certain AI applications and categorizes others as “high-risk.” A core objective is to prevent the deployment of AI technologies that could compromise fundamental rights and public safety.

The Importance of Trust in AI

The sentiment expressed by Margrethe Vestager, Executive Vice President of the European Commission, resonates widely: trust is essential when dealing with AI, not merely desirable.

However, a critical question arises: is regulation the most effective and pragmatic approach to fostering this trust?

Key Principles of the Proposed Regulations

The Commission’s proposals are extensive, but several key principles stand out.

  • Regulated AI should prioritize the enhancement of human well-being.
  • Regulation must strike a balance, avoiding undue restrictions on AI experimentation and innovation.

It is vital that regulations do not stifle the progress of AI systems.

Oversight, Transparency, and Biometric Systems

High-risk AI systems must incorporate robust, immutable human oversight and control features.

All AI systems, regardless of risk level, that interact with individuals or create content will be subject to stringent transparency requirements.

The use of remote biometric identification systems in public areas will be strictly controlled.

Such systems will require explicit authorization under EU or member state law, and their deployment must be limited to the prevention, detection, or investigation of serious criminal activity and terrorism.

The Symbiotic Future: AI and Human Collaboration

The recently established legal guidelines and regulatory structure within Europe are poised to significantly influence the global landscape of AI governance, mirroring the widespread impact of GDPR over the last ten years.

A crucial question arises: will these new laws facilitate a transition from the currently fragmented regulatory strategies across the EU towards a unified system of categorization and standardization?

Potential Hindrances to European AI Advancement

It is my assessment that these regulations risk severely hindering AI development within the European Union. Simultaneously, nations like China and the United States are likely to experience accelerated progress.

The scope of potential applications and the pace of innovation in artificial intelligence will be constrained, potentially positioning the EU as technologically disadvantaged on a global scale.

Currently, in the United States, the primary focus in AI optimization is enhancing corporate profitability and operational efficiency.

Conversely, China is directing its AI development efforts towards strengthening governmental control and maintaining power structures.

The highly regulated environment anticipated within the EU is likely to generate substantial inconsistencies as regulations issued by different EU institutions begin to conflict with one another.

Challenges of Regulatory Discrepancy

This internal contradiction will inevitably lead to a state of confusion and impede the effective implementation of AI technologies.

A cohesive and streamlined approach to AI regulation is essential for fostering innovation and ensuring responsible development.

Detrimental Impacts on EU Entrepreneurship

A significant impediment to the EU’s competitiveness in the field of AI is the insufficient level of investment directed towards it, contributing to a widening gap between the EU and leading nations like the U.S. and China.

Despite having a larger population – approximately 446 million residents compared to the U.S.’s 331 million – the EU’s AI investment in 2020 totaled $2 billion, a stark contrast to the $23.6 billion invested in the United States.

The Risk of Entrepreneurial Flight

Should the EU maintain its current trajectory of stringent regulations coupled with inadequate financial support, it risks achieving a position of global prominence solely in AI regulation.

However, it is highly probable that numerous European entrepreneurs will choose to establish their ventures in nations offering a more conducive environment for AI development and innovation.

Global Implications and Regulatory Burden

Consequently, other countries will capitalize on the EU’s emphasis on strict regulations, actively promoting innovation and strengthening their influence over the future of global technology.

Data from a recent World Bank report indicates that the EU initiated 38% of all data compliance investigations in 2019, significantly higher than the 12% originating from North America.

Given the demanding and onerous nature of these policies, it is unsurprising if innovators and business founders increasingly seek opportunities in more favorable global locations.

Specific Concerns Regarding Regulation

  • The EU’s regulatory approach may stifle AI innovation.
  • Stringent data compliance requirements create a burden for businesses.
  • A shift of entrepreneurial activity to more permissive regions is a real possibility.

These factors collectively pose a threat to the EU’s long-term economic growth and technological leadership.

The Potential for Regulatory Setbacks

The currently debated regulation outlines potential penalties reaching as high as €20 million, or equivalent to 4% of an AI provider’s yearly global revenue, in cases of non-adherence. Considering the historical impact of EU legislation on digital advancement, these proposed rules risk fostering prolonged stagnation in the development and implementation of digital technologies within the European Union.

Essentially, the enactment of these regulations could position the EU as a follower rather than a leader in the field. The most impactful applications of AI are still unfolding, and their full capabilities remain to be discovered.

Impact on Innovation

The extensive bureaucratic processes required for applications deemed “high-risk” will likely suppress entrepreneurial ventures and grassroots innovation. Given the existing economic indicators suggesting a potential recession within the EU, now is arguably not the optimal time to impede technological progress.

A significant impediment to growth could arise from the compliance burdens. This is particularly true for smaller companies and startups lacking the resources to navigate complex regulatory frameworks.

Consequences of Compliance

The proposed rules could inadvertently drive AI development and investment outside of the EU. Companies may choose to establish operations in regions with more favorable regulatory environments.

This shift in investment would further exacerbate the EU’s potential to fall behind in the global AI landscape. It would also limit the benefits of AI innovation to European citizens and businesses.

  • Financial Penalties: Fines up to €20 million or 4% of annual turnover.
  • Innovation Stifling: Bureaucracy hindering entrepreneurship.
  • Economic Impact: Potential exacerbation of recessionary trends.

Ultimately, the proposed regulation, while intended to ensure responsible AI development, carries the risk of hindering innovation and economic growth within the EU. A careful balance between regulation and fostering a thriving AI ecosystem is crucial.

Presenting a Human Side to Global AI and Demonstrating its Benefits

Widespread acceptance of AI hinges on showcasing its positive impact through relatable human stories. It’s crucial to highlight authentic narratives that demonstrate how AI is assisting individuals in overcoming obstacles and addressing their challenges.

For broader public acceptance, people need to witness the advantages of AI for those who share similar experiences and backgrounds.

The Importance of Startup Funding for AI Advancement

Investment in AI primarily translates to funding for startups. These companies serve as the vital link between the initial research and development of groundbreaking technologies and their practical application by the general population.

While Europe is actively engaged in planning for the future of AI, a significant acceleration of these efforts is necessary.

Addressing the Venture Capital Gap in Europe

Currently, European venture capital investment trails behind the U.S. model. Rapidly expanding startups are largely reliant on funding from investors in America and Asia.

This situation necessitates a reevaluation of the existing investment culture and the proactive encouragement of a more dynamic investment landscape, potentially through easing investment restrictions for institutional investors.

Embracing “Moonshot” Thinking for Exponential Innovation

We are currently in an era defined by ambitious “moonshot” projects, where entrepreneurs and scientists are pushing the boundaries of what’s possible. Success in the evolving economy demands a new approach to innovation, focused on achieving a tenfold increase in innovative output.

Achieving this level of progress requires a shift away from incremental improvements and toward pursuing significant, transformative innovations – moonshots.

The Role of Risk-Taking and Bold Ideas

Accepting risk is essential, and the implementation of ambitious, even risky, ideas should become commonplace.

Fostering an Innovation-Friendly EU Through Collaboration

To establish an EU environment that supports innovation and entrepreneurship, a collaborative network of AI pioneers must be created to provide leadership.

Entrepreneurs and leaders in data science should concentrate their efforts on utilizing AI for good, aiming to improve the world in the long term and advocating for reduced regulation.

This can be achieved by establishing a global AI pioneers council dedicated to AI for good, comprising representatives from leading research institutions, businesses, the public sector, and civil society to establish a consensus on best practices.

AI’s Potential Beyond Optimization: Addressing Global Crises

AI is no longer limited to optimizing corporate and societal systems; its potential extends to resolving critical global challenges, including climate change and uncontrolled pandemics.

The responsible application of AI and AI for good initiatives, across all major global powers, can contribute to addressing these pressing crises.

The EU’s Choice: Leadership or Stagnation

The EU cannot afford to become a region that discourages innovation and entrepreneurship. It must prioritize strategic leadership in AI, grounded in the principles of AI for good.

Overregulation risks leading to economic stagnation. The future trajectory of the EU is a decision that must be made deliberately.

#European AI#AI regulation#AI leadership#AI strategy#artificial intelligence#innovation

Mark Minevich

Mark Minevich: A Profile in AI and Digital Strategy

Mark Minevich currently holds the position of president at Going Global Ventures. This role demonstrates his commitment to fostering innovation on a worldwide scale.

He also serves as an advisor with the Boston Consulting Group, lending his expertise to complex business challenges.

Expertise and Affiliations

Further showcasing his influence in the field, Minevich is a digital fellow at IPsoft. This position allows him to contribute to advancements in artificial intelligence.

AI and digital cognitive strategy are central to Minevich’s professional focus. He is widely recognized as a leading global expert in these domains.

Beyond his advisory and fellowship roles, Mark Minevich is an active venture capitalist. He invests in and supports promising new technologies and companies.

His multifaceted career positions him at the forefront of the evolving technological landscape, bridging the gap between innovation and practical application.

Minevich’s contributions span multiple sectors, solidifying his reputation as a key figure in the global AI community.

Mark Minevich